뉴스 | "PROBLEMS" | 12페이지

Chairman of United Bank for Africa: 'We need to fix our problems ourselves'

In an interview with FRANCE 24 on the sidelines of the Africa-France summit in Nairobi, Tony Elumelu, chairman of Heirs Holdings and United Bank for Africa, said "we [in Africa] need to fix our problems ourselves" as Western aid cuts bite, calling on the continent's private sector to step up and invest in electricity and infrastructure.

Liberal senator breaks ranks to take aim at Angus Taylor’s ‘negative’ rhetoric on immigration

‘We cannot continue to blame migrants for the problems of our economy,’ backbencher Andrew McLachlan says Follow our Australia news live blog for latest updates Get our breaking news email, free app or daily news podcast A Liberal senator has broken ranks to criticise Angus Taylor’s plan to bar non-citizens from accessing welfare, warning it will create “two types of members of the community” and is “not the Australian way”. The outspoken backbencher Andrew McLachlan said migrants should not be blamed for economic problems including the housing crisis, and warned his party’s immigration rhetoric was alienating diaspora communities. Continue reading...

Accelerating Chipmaking Innovation for the Energy-Efficient AI Era

This sponsored article is brought to you by Applied Materials. At pivotal moments in history, progress has required more than individual brilliance. The most consequential breakthroughs — such as those achieved under the Human Genome Project — required a new operating paradigm: Concentrate the world’s best talent around a single mission, establish a common platform, share critical infrastructure, and collapse feedback loops. When stakes are high and timelines are compressed, sequential and siloed innovation simply cannot keep pace. Today’s AI era is creating an engineering race with similar demands. Every company is pushing to deliver higher-performance AI systems, faster. But performance is no longer defined by compute alone. AI workloads are increasingly dominated by the movement of data: In many cases, moving bits consumes as much — or more — energy than compute itself. As a result, reducing energy per bit can extend system‑level performance alongside gains in peak compute. The path to energy‑efficient AI therefore runs through system‑level engineering, spanning three tightly interconnected domains: Logic, where performance per watt depends on efficient transistor switching, low‑loss power, and signal delivery through dense wiring stacks. Memory, where surging bandwidth and capacity demands expose the memory wall, with processor capability advancing faster than memory access. Advanced packaging, where 3D integration, chiplet architectures, and high‑density interconnects bring compute and memory closer together — enabling system designs monolithic scaling can no longer sustain. These domains can no longer be optimized independently. Gains in logic efficiency stall without sufficient memory bandwidth. Advances in memory bandwidth fall short if packaging cannot deliver proximity within thermal and mechanical constraints. Packaging, in turn, is constrained by the precision of both front‑end device fabrication and back‑end integration processes. In the angstrom era, the hardest problems arise at the boundaries — between compute and memory in the package, front‑end and back‑end integration, and the tightly coupled process steps needed for precise 3D fabrication. And it is precisely this boundary‑driven complexity where the traditional innovation model breaks down. The Traditional R&D Workflow Is Too Slow for Angstrom‑Era AI For decades, the semiconductor industry’s R&D model has resembled a relay race. Capabilities are developed in one part of the ecosystem, handed off downstream through integration and manufacturing, evaluated by chip and system designers, and only then fed back for the next iteration. That model worked when progress was dominated by relatively modular steps that could be scaled independently and simply dropped into the manufacturing flow. But the AI timeline has upended these rules. At angstrom‑scale dimensions, the physics enforces inescapable coupling across the entire stack: materials choices shape integration schemes; integration defines design rules; design rules dictate power delivery; wiring sets thermal budgets; and thermals ultimately constrain packaging scaling. System architects simply cannot wait 10–15 years for each major semiconductor technology inflection to mature. Representing a roughly $5 billion investment, EPIC is the largest commitment to advanced semiconductor equipment R&D in U.S. history. A long‑term perspective is essential to align materials innovation with emerging device architectures — and to develop the tools and processes required to integrate both with manufacturable precision. At Applied Materials, together with our customers, we are charting a course across the next 3–4 generations, extending as far as 10 years down the roadmap. The angstrom era demands that we break down silos and bring together the industry’s best minds — from leading companies to leading academic institutions. If the problem is coupled, the solution must be coupled. If the timeline is compressed, the learning loop must be compressed. It’s not enough to just innovate — we must innovate how we innovate. EPIC: A Center and Platform for High‑Velocity Co‑Innovation This is the challenge that Applied Materials EPIC Center is designed to solve. Representing a roughly US $5 billion investment, EPIC is the largest commitment to advanced semiconductor equipment R&D in U.S. history. When it opens in 2026, it will deliver state‑of‑the‑art cleanroom capabilities built from the ground up to shorten the path from early‑stage research to full‑scale manufacturing. But the facilities are only one component of the model. EPIC is also a platform, an operating system for high-velocity co‑innovation that revolutionizes how ideas move from the lab to the fab. EPIC is a platform, an operating system for high-velocity co‑innovation that revolutionizes how ideas move from the lab to the fab.Applied Materials The EPIC model compresses the traditional workflow. Customer engineers work side‑by‑side with Applied technologists from day one — moving beyond isolated process optimization and downstream handoffs. Within a shared, secure environment, EPIC tightly integrates atomistic modeling, test vehicles, process development, validation, and metrology feedback. Constraints that once surfaced late in development are identified and addressed early. The result is a potentially 2x faster path that benefits the entire ecosystem under one roof: Chipmakers gain earlier access to Applied’s R&D portfolio, faster learning cycles, and accelerated transfer of next‑generation technologies into high‑volume manufacturing. Ecosystem partners gain earlier access to advanced manufacturing technology and collaboration opportunities that expand what is possible through materials innovation. Academic institutions gain opportunities to strengthen the lab‑to‑fab pipeline and help develop future semiconductor talent. Building on decades of co‑development, we are reinventing the innovation pipeline with our partners across logic, memory, and advanced packaging to deliver the next leap in energy‑efficient AI. Accelerating Advanced Logic Logic remains the engine of AI compute. In the angstrom era, however, system‑level gains are increasingly constrained by power and energy. Extending AI performance now depends on architectures that deliver more performance per watt — accelerating the move to 3D devices such as gate‑all‑around (GAA) transistors, which boost density within a compact footprint while preserving power efficiency. Architectures that deliver more performance per watt are accelerating the move to 3D devices such as gate‑all‑around (GAA) transistors, and further out, complementary FETs (CFETs), which push density scaling even more.Applied Materials These architectural shifts are unfolding at unprecedented scale, with the logic roadmap already extending beyond first‑generation GAA toward more advanced designs. One key example is GAA with backside power delivery, which relocates thick power lines to the backside of the wafer, reducing resistive losses and freeing front‑side routing for tighter logic cell integration. Another example brings adjacent GAA PMOS and NMOS transistors closer together while inserting a dielectric isolation wall between them to minimize electrical interference. Further out, complementary FETs (CFETs) push density scaling even more by stacking PMOS and NMOS devices directly atop one another. While these architectures deliver compelling gains in performance per watt and logic density without relying solely on tighter lithography, they significantly raise integration complexity. Manufacturing a single GAA device today can involve more than 2,000 tightly interdependent process steps. At the same time, wiring stacks continue to grow taller and denser to connect these advanced logic devices. Modern leading‑edge GPUs now in development pack more than 300 billion transistors into an area little larger than a postage stamp, interconnected by over 2,000 miles of wiring. Modern leading‑edge GPUs now in development pack more than 300 billion transistors into an area little larger than a postage stamp, interconnected by over 2,000 miles of wiring.Applied Materials At this level of complexity, the process steps used to create these precise 3D devices and wiring stacks cannot be optimized independently. Design and process must evolve in lockstep, and materials innovation and fabrication methods must advance alongside device architecture. EPIC’s co‑innovation model is designed to accelerate exactly this convergence — enabling logic compute to continue advancing the frontiers of AI at the pace the roadmap demands. Powering the Memory Roadmap At the same time, the AI computing era is fundamentally reshaping how data is generated, moved, and processed — making memory technologies, especially DRAM, central to delivering the energy‑efficient performance AI systems require. As models grow larger and more data‑hungry, the DRAM roadmap is shifting toward architectures that deliver higher density, greater bandwidth, and faster access per watt. At the DRAM cell level, AI performance requirements are driving a transition from 6F² buried‑channel array transistors (BCAT) to more compact 4F², and beyond that, architectures that move past what 2D scaling alone can deliver. Applied Materials At the DRAM cell level, this shift is driving a transition from 6F² buried‑channel array transistors (BCAT) to more compact 4F² architectures, which orient the transistor vertically to boost density and reduce chip area. Looking beyond 4F², sustaining gains in performance per watt will require moving past what 2D scaling alone can deliver. The industry is therefore turning to 3D DRAM, stacking memory cells vertically to add capacity within a constrained footprint. As these structures grow taller and aspect ratios intensify, high-mobility materials engineering in three dimensions becomes increasingly critical to performance and reliability. Beyond the memory cell array, another powerful lever for DRAM scaling is shrinking the peripheral circuitry, which includes logic transistors and interconnect wiring. One emerging approach places select periphery functions beneath the DRAM array by bonding two wafers — one optimized for the DRAM cells and the other for CMOS logic — using multiple wiring layers. Beyond the memory cell array, another powerful lever for DRAM scaling is shrinking the peripheral circuitry, which includes logic transistors and interconnect wiring.Applied Materials In parallel, DRAM performance is being extended by leveraging logic‑proven enhancers in the memory periphery. These include mobility boosters such as embedded silicon germanium and stress films, along with wiring upgrades like improved low‑k dielectrics and advanced copper interconnects. Memory manufacturers are also transitioning periphery transistors from planar devices to FinFET architectures, following the logic roadmap to further improve I/O speed. These valuable inflections are central to EPIC’s mission — where they can be co-developed and rapidly validated for next‑generation memory systems. Driving System Scaling With Advanced Packaging As data movement becomes the dominant energy cost in AI systems, advanced packaging has emerged as a critical lever for improving system‑level efficiency—shortening interconnect distances, increasing bandwidth density, and reducing the power required to move data between logic and memory. The rise of 3D packages such as high‑bandwidth memory (HBM) underscores why advanced packaging is becoming central to the AI era.Applied Materials High‑bandwidth memory (HBM) marks a major inflection along this path. By stacking DRAM dies — scaling to 16 layers and beyond — and placing memory much closer to the processor, HBM enables rapid access to ever‑larger working datasets. This delivers step‑function gains in both bandwidth and energy efficiency. More broadly, the rise of 3D packages such as HBM underscores why advanced packaging is becoming central to the AI era. Packaging now addresses system‑level constraints that logic and memory device scaling alone can no longer overcome. It also enables a move away from monolithic systems‑on‑chip toward chiplet‑based architectures, as AI workloads increasingly demand flexible designs that combine logic, memory, and specialized accelerators optimized for specific tasks. A vital technology powering this roadmap is hybrid bonding. With interconnect pitches approaching those of on‑chip wiring, conventional bumps and microbumps run into fundamental limits in density, power, and signal integrity. Hybrid bonding removes these barriers by allowing dramatically higher interconnect and I/O density, supporting a broad range of chiplet architectures — from memory stacking to tighter compute‑memory integration. EPIC tackles high‑value advanced‑packaging challenges through early, parallel co‑innovation across materials, integration, and manufacturing.Applied Materials As bonded structures like HBM stacks grow larger and more complex, warpage control, die placement, stack alignment, and thermal management become first‑order challenges. EPIC tackles these and other high‑value advanced‑packaging challenges through early, parallel co‑innovation across materials, integration, and manufacturing. Bringing It All Together Across logic, memory, and advanced packaging, our industry faces an ambitious roadmap that promises significant gains in energy efficiency for AI systems. But realizing that potential demands breakthrough materials innovation at a time when feature sizes are shrinking, interfaces are multiplying, and process interdependencies are escalating. These challenges cannot be solved on 10–15‑year timelines under the traditional relay‑race model. We must break down silos, align earlier across the ecosystem, and parallelize learning to keep pace with AI’s demands. In the AI era, progress will be defined by the speed at which lightbulb moments turn into manufacturing and commercialization reality. The only viable path forward is a new innovation model — and EPIC is how we are driving it.

IEEE Spectrum

중도 성향

정치

Sardinia’s Ancient Reasons for Rejecting a Clean Energy Future

“Why are you here?” Fabrizio Pilo, an electrical engineer, asks me as we sit in an outdoor café near his home in Cagliari, an ancient city on the island of Sardinia. It’s a fair question. I’m a journalist from the United States. I’d just stepped off my flight 2 hours prior and come straight to this meeting, suitcase still stowed in my rental car. I’m here to see three intriguing new energy projects under development in Sardinia. I’d heard there’s strong public resistance to renewable energy, and I want to understand why that is. I tell Pilo, who is vice rector for innovation at the University of Cagliari, that I hope he’ll share some insights before I head out on a reporting trip across the island. (My answer seems to satisfy him, and he kindly gives me an hour of his time). This won’t be the first time that I’m asked to explain my presence on the island. I’d expected it, to some extent; I’m a foreign journalist poking around, after all. What I didn’t expect was the depth of Sardinians’ distrust, not just of journalists, but of any outsider, particularly ones with authority. Over the last few years, developers of wind and solar projects, most of whom aren’t from here, have been absorbing the bulk of this smoldering, communal wariness. Activists Maria Grazia Demontis [left] and Alberto Sala, photographed inside the archaeological monument Giants’ Tomb of Pascarédda, have worked to stop the construction of wind farms by organizing protests and taking legal actions through their organization Gallura Coordination. Luigi Avantaggiato In fact, the resistance is so widespread among Sardinians that over the course of two months in 2024, a grassroots petition to ban new wind and solar projects gathered over 210,000 certified signatures. That’s more than a quarter of Sardinia’s typical voter turnout and represents a cross-party consensus. People stood in long lines in public squares to sign. And it worked: Political leaders responded swiftly with an 18-month moratorium on renewable energy construction. “I’ve never seen so much engagement for anything” in Sardinia, says Elisa Sotgiu, a literary sociologist at the University of Oxford, who was born and raised on the island. “Sardinia has a bunch of problems like enormous unemployment. There’s lots of emigration because there are no jobs. It’s one of the poorest areas in Europe. The area is just decaying,” she says. “And yet the thing people are demonstrating against is renewable energy.” And the opposition continues: A network of mayors has mobilized for the cause. Thousands of people show up at organized protests. Activists vandalize grid equipment. Families are passing down these stories of resistance to their children as a point of pride. Local media outlets are egging it on, frequently publishing misinformation tinged with fearmongering. These aren’t just NIMBY complaints—not in the pejorative sense, at least. The resistance, and the distrust underlying it, is rooted in the island’s complex history, both recent and ancient. It’s based on a past that the Sardinian people carry with them—a past that has seeded a deep sense of suspicion and vulnerability. Resistance, I learn, is part of what it means to be Sardinian. Fabrizio Giulio Luca Pilo, vice rector of innovation at the University of Cagliari, has been working to help Sardinia transition to cleaner, more reliable energy. Luigi Avantaggiato “It is a very sad situation,” Pilo tells me. “There are a lot of economic reasons to do the [energy] transition.” It could attract new companies such as data centers, which would create new jobs, he argues. It could reduce Sardinia’s reliance on imported gas and fuel, making the island more independent. New economic activity on the island might help reverse its population decline, he adds. And while what’s happening on Sardinia is unique, it also represents a larger trend: A growing number of communities around the world are opposing wind- and solar-farm construction, to the consternation of stakeholders. By 2025, nearly one-fourth of the counties in the United States had enacted some impediment to new utility-scale wind and solar energy—up from as few as 15 percent two years earlier, according to a USA Today analysis. In Africa, community pushback successfully canceled major projects such as the 60-megawatt Kinangop Wind Park in Kenya. In India, local pastoralists are challenging the 13-gigawatt Ladakh solar and wind project. And the European Union’s top-down push for renewable energy has created opposition in many communities. Their reasons vary—land-use preferences, generational ethos, government resentment, property values, economic effects, aesthetics—but all of these struggles have this in common: The resisters are passionate and they are often successful in blocking development. This is a looming problem for the energy transition. Unlike large, centralized coal and nuclear power plants, renewable energy is geographically spread out, so it touches far more communities. Sardinia offers one of the clearest cases of what can go wrong when renewable-energy developers and authorities fail to consider the complexities of the local situation on the ground. Why is Sardinia resisting renewable energy? Roughly the size of New Hampshire, Sardinia juts out of the Mediterranean Sea about 200 kilometers west of Italy’s mainland. Technically it’s part of Italy, but Sardinians are quick to point out their island’s autonomous status—a subtle way of saying, “We do things our way.” Its mountains seem to echo the sentiment. With the highest peaks running in a chain along the east side of the island, Sardinia resolutely turns its back to the mainland. At first glance, the island looks like the kind of place that’s ripe for an energy transition. Its two coal plants are aging and are targeted to be shut down to meet climate commitments. It has no nuclear power, nor does it produce its own natural gas. Wind and sun, however, are abundant and could easily meet the energy needs of Sardinia’s sparse population of about 1.5 million. But while the resources may be ready for a transition, the people emphatically are not. When I first arrive in Sardinia and take in its beauty, I assume that the impetus behind the fight against wind and solar farms boils down to how they look. Waves of silicon, metal, and concrete would spoil views of Sardinia’s stunning beaches, rugged mountains, ancient pastures, and idyllic medieval villages, after all. Residents of the city of Orgosolo in 1969 famously stopped the construction of a military firing range on communal grazing land known as Pratobello. Its village walls are still covered in murals advocating social protest and antiauthoritarianism. Luigi Avantaggiato But the island’s aesthetic—and the tourism industry that depends on it—are only part of the equation. The far stronger cultural forces at play are rooted in Sardinia’s past. Over millennia, the island has endured successive invasions from outsiders seeking to exploit the land. These incursions, and Sardinians’ rebellious responses to them, have become an integral part of the island’s identity passed down through generations. The invasions started with the relatively peaceful settlement of the Phoenicians in the 9th and 8th centuries B.C.E. Then came the Romans, the Byzantines, and the Iberians, who conquered with violence, looting, and enslavement. But legend has it that despite the might of these ancient conquerors, pockets of Sardinia sometimes managed to defend themselves. “Not even the Roman empire could conquer the shepherds of the highland regions,” is the oft-repeated tale. Whether that’s true or just an idealization is beside the point; such stories serve as an enormous source of pride and identity. Sardinia exported about 30 percent of the electricity it generated in 2025, largely to Corsica and the Italian mainland via two existing submarine cables. The island is “fiercely proud of its identity…especially in the center of Sardinia, which was the most resistant part,” says Andrea Vargiu, a sociologist at the University of Sassari in Sardinia. “This long history of exploitation is still in our DNA, along with a proud sense of autonomy,” he says. Sardinia’s unification, in the mid-1800s, with what would become the Kingdom of Italy is seen by many as an act of colonization. It didn’t help that Italy then proceeded to exploit Sardinia’s forests and other resources for the benefit of the mainland—a practice that continued through the 20th century, says Vargiu. Sardinian bandits sometimes fought back with their own sense of justice, settling matters through raids, kidnappings, and violence. Their stories live on in Sardinian lore with an almost mythical quality, the brigands admired for their intractability. Pasquale Mereu, mayor of Orgosolo, helped organize the Pratobello 24 movement against renewable energy in Sardinia. Luigi Avantaggiato Italy’s use of the island for military purposes particularly irked locals. In a famous case in 1969, residents of the town of Orgosolo successfully thwarted the construction of a firing range on communal grazing land known as Pratobello. That name has since become synonymous with the defense of one’s territory, and a rallying cry. “Sardinia has always been a land of conquest,” says Pasquale Mereu, mayor of Orgosolo, who spoke with IEEE Spectrum through an interpreter. “We believe that even today we are still a colony of Italy, and I’m not ashamed to say it even though I represent an institution.” A longstanding mural on one of his village’s walls reads: “You are in the territory of Orgosolo; here the people rule supreme and the government obeys.” Sardinia’s History Shapes its Identity Driving around the island and talking to people, I can feel the weight of Sardinia’s history—and people’s propensity for holding onto it. Elaborate heritage festivals occur nearly every autumn weekend in the island’s interior. They’re well attended, multigenerational affairs that aim to keep old traditions alive. In the medieval town of Belvì, men roast chestnuts—marroni—over an open fire in a frying pan the size of a swimming pool and then serve them to the crowd by shoveling them into troughs. They’re delicious. In an adjacent amphitheater, the crowd sways along to costumed performers leading traditional dances. Then there are the Bronze Age stone structures, called nuraghi, that are pretty much everywhere. Built before the violent conquests, these conical towers have come to symbolize a romanticized vision of the heyday of Sardinia’s independence. More than 7,000 of them remain, ranging from unremarkable piles of rocks to complex towers, each one carefully documented on an interactive online map. I visit one of the more intact ones that’s fenced off and requires an admission fee. As I take some video with my phone, an employee asks me who I am and what I’m doing and informs me I’ll need to get permission from the government before posting anything online. This rock hollowed out by erosion and walled up with stones was likely used by shepherds as a shelter near the historic Sardinian village of Tempio Pausania. Luigi Avantaggiato But in interviews with residents, I’m continually reminded of the darker side of Sardinia’s past. People often bring up painful things that happened 50 or 500 years ago. A middle school science teacher named Giannina Serpi, and her husband, Roberto Moro, meet me at a café in the seaside town of Sant’Antioco. When I ask why people are so opposed to renewable energy, they (like many people I interviewed) point to the 1970s. Sheep return from pasture in Bonorva, Sardinia, near the Bonorva wind farm operated by EDF Renewables. Luigi Avantaggiato That decade brought a new kind of exploitation: not by empires or governments, but by technology companies. Petrochemical, aluminum, and other industrial companies from overseas built factories on the island, creating jobs and adjacent businesses. But after a few decades, economic and geopolitical factors led the companies to close the factories, sinking local economies and in some cases leaving behind toxic contamination. In the northern city of Porto Torres, several petrochemical plants, a thermoelectric power plant, and an industrial harbor employed about 8,000 workers in the early 1970s. But the oil crises of that decade took its toll on jobs, and when environmental contamination became evident in the 1990s, employment plunged further. By 2010, most of the petrochemical plants had closed. Studies show that residents of Porto Torres during that time had curiously high rates of death from cancer, although there is no consensus on the cause. Similarly, studies have found higher rates of lead in children in the Portovesme area in the southwest, about a 20-minute drive from where I sit with Serpi and Moro in Sant’Antioco. There, the U.S. aluminum producer Alcoa operated a smelter that employed about 500 people and supported an estimated 1,500 adjacent jobs. But the company shut down the smelter in 2012. Three years earlier, Russian aluminum manufacturer Rusal had idled its Eurallumina factory nearby. The impacts of these events still feel fresh, Serpi explains through a digital translator. She says she teaches this history to her students but doesn’t tell them how to feel about it. “I let them decide,” she says. Energy Colonialism in Sardinia Against this backdrop, renewable-energy developers in the early 2010s began sizing up Sardinia. They were drawn by the cheap land, low population, strong wind, and sun that shines an average of about 300 days a year. EF Solare Italia commissioned an 11-MW solar plant in 2010. Rome-based Enel Green Power began construction of a 90-MW wind farm in Portoscuso the following year. Other developers followed, and they mostly came from elsewhere—mainland Italy, Europe, and later, China. The way many Sardinians saw it, the new plants didn’t bring many long-lasting jobs. Most of the work ended after the design and installation phases, and profits went back to the companies’ headquarters outside of Sardinia, they argued. People called it “energy colonialism” and lauded landowners who refused to sell or lease their property to developers. Pink granite called Ghiandone Limbara was extracted from the Sinnada quarry in northern Sardinia from the late 1970s to 2011. Luigi Avantaggiato The uncle of Oxford’s Sotgiu is one of those landowners. She says that a couple of years ago a solar company asked him if he would allow the installation of an array on his family farm in Logudoro in Sardinia’s interior. “From that, he would have gotten something around €150,000 a year, which is more money than he’s seen in his life,” says Sotgiu. The money could have covered his three kids’ college education, she says. “But he refused.” He had many reasons. For one, switching from sheep grazing to the more passive business of leasing land would have put the fate of his income in the hands of an outsider. “If you deprive a region of any sort of economy that is self-reliant, then it’s really fragile,” says Sotgiu. Her uncle didn’t trust that the income would last, and worried he’d be left with a ruined farm, she says. Plus, his farm has been in the family for generations and one of his sons is interested in continuing the business. “So I understand his pride in saying, ‘No, this is my farm, I don’t care about the money,’” she says. Sardinia has one of the largest carbon footprints per capita in Europe. Despite that kind of grassroots resistance, development continued. In 2023, the Italian government authorized the construction of a 1-GW submarine power cable to connect Sardinia to Sicily and the Italian mainland. When completed, the bidirectional cable, called the Tyrrhenian Link, will increase electricity exchange between the regions, bolster grid reliability, and help grid operators efficiently use more renewable energy. Sardinian activists, however, view the cable as a way to justify even more construction of wind and solar plants, and to export the island’s energy for the benefit of non-Sardinians. The island already exports about 30 percent of its electricity, largely to Corsica and the Italian mainland via two existing submarine cables. The Florinas wind farm, commissioned in 2004, was one of the earliest wind farms built in Sardinia. Luigi Avantaggiato And then came the tipping point. In June 2024, in an effort to meet the European Union’s 2030 renewable energy targets, Italy committed to building more than 80 GW of new wind and solar energy capacity over December 2020 levels. The national government divvied up the burden among its regions and told Sardinia to build its portion, 6.2 GW. The move triggered an onslaught of requests from wind and solar developers wanting to build projects in Sardinia. The queue at one point topped 50 GW of grid-connection requests. That represented more than 700 solar and wind projects, many of which came from companies outside of Sardinia. The southern newspaper L’Unione Sarda ran wild with the numbers. Almost daily, for months, it published stories about the “wind assault.” The call-to-arms posts urged people to protest. “The Attack on the Landscape Does Not Stop; The Threat From Agrivoltaics Is Growing,” read a July 2024 headline. Unsubstantiated articles tried to link wind and solar developers to organized crime. “It was scaremongering,” says Sotgiu. “It was a little dishonest, as I saw it, because they kept exaggerating and scaring people into thinking that we were going to be invaded.” (Representatives of the newspaper declined to comment.) The numbers did scare people. Lost was the fact that a grid-connection request is just the start of a multiyear process that involves permitting and legal review and often ends in withdrawn or downsized projects. Submitting a request is inexpensive, and developers often cast a wide net by entering lots of these queues globally to increase the odds of being accepted. In the end, only a fraction come to fruition. In other words, building all, or even most, of the requested 50 GW was never going to happen. “I tried to explain this” to the public, says an industrial engineer at the University of Cagliari, in Sardinia, who asked to remain anonymous to avoid any detrimental impacts of speaking out. “I went to the regional television station. But it’s difficult with technical information. And the newspaper communication is so bad, and its impact is so strong in the community, that it’s very difficult to change people’s minds,” he says. Pratobello 2024 and Anti-Wind Protests And so the collective angst caused by powerful outsiders, industry, and the state united Sardinians into a singular cause. Faced with what felt like another attempted conquest, they did what their families and community had taught them to do: They resisted. Says Mereu: “This is what we are rebelling against: the idea that Sardinians are few and therefore must put up with everything.” In a nod to the 1969 resistance in Orgosolo, they dubbed the movement “Pratobello 2024.” Activist groups, called “committees,” organized protests, and created social media campaigns and videos. Thousands of people started showing up at planned demonstrations. A lawyer went on a hunger strike. Vandals unscrewed bolts on wind turbine blades and set fire to grid and construction equipment. Italy’s transmission system operator, Terna, had to switch to company cars without logos to avoid being targeted. Students studying the electricity system in a master’s program sponsored by Terna were verbally attacked at an airport, according to a professor at their school who spoke with me about the violence. Celebrities got involved. Italian actress and Bond Girl Caterina Murino met with Sardinia’s president to ask her to reject wind farms. Murino posted on Instagram: “Nobody touch Sardinia!!!!” On Italian national TV, the jazz legend Paolo Fresu performed on trumpet while popular TV host Geppi Cucciari read an impassioned lament about the exploitation of the island. Sardinian author Erre Push penned a graphic novel titled Fàula Birdi about a protagonist who resisted an imposition from outsiders. He wrote it upon the request of the activist group ReCommon, whose mission is to “challenge corporate and state power responsible for the plunder of territories.” Push hopes the book will inspire more people to follow the protagonist’s lead. “Renewables are another imposition like in the past—not to help Sardinians but to help external people like industry managers or founders of companies,” he told me through an interpreter. Concerned about the influx of solar and wind farms being built in Sardinia by outsiders, Roberto Pusceddu, under his pen name Erre Push, published a graphic novel that aimed to inspire young people to resist such impositions. Luigi Avantaggiato Mereu and a network of mayors drafted the petition that gathered so many signatures. The people had spoken. In response, Sardinian politicians passed a law that imposed an 18-month ban on construction of wind and solar projects within 7 km of a nuraghe or other archeological site. It wasn’t a total ban, but it might as well have been. “If you put a circle with a 7-km radius around each archeological site, you cover all of Sardinia,” says Emilio Ghiani, a power systems expert at the University of Cagliari. “In this way, it is impossible to find a place to install a new plant.” The move was like giving the Italian government—and the EU’s clean energy targets—the middle finger. And it sent renewable-energy developers scrambling. One company building an agriphotovoltaic plant raced to bring construction to 30 percent completion, which the new law said was the threshold for being allowed to proceed. The company asked not to be named in this story to avoid trouble. Furious, the government in Rome challenged the Sardinian regional law in Italy’s Constitutional Court, and in January this year it prevailed. In its decision, the court rejected the law, saying that renewable-energy projects should be evaluated case by case. Project development quickly resumed. So did the backlash. A headline in L’Unione Sarda declared: “Enough With Top-Down Decisions Without Consulting Communities.” Sardinia’s Renewable Energy Conflict Where the island goes from here is unclear. There’s a willingness among a portion of the population to move forward with an energy transition. For example, some of Sardinia’s largest cheese makers are powering their operations with renewable energy and installing systems to utilize waste heat for efficiency. But for the most part, the public isn’t budging in its resistance. Researchers are trying to dispel inaccurate information, but regional newspapers seem bent on perpetuating fear. Plus, there are technical issues to work out before a full-scale energy transition can be made. Sardinia’s transmission system was built around the centralized generation of two coal plants; it wasn’t made for the distributed generation of wind and solar plants. Renewables require a more dynamic grid, more energy storage, and a wider range of power sources to compensate for their intermittency. Engineers are working on it, but they’ve got a ways to go. The new Tyrrhenian Link undersea power cable will help with that. By connecting Sardinia, Sicily, and the mainland, the cable creates more flexibility in the system. When wind or solar generation slows in Sardinia, for example, electricity from the mainland can fill in the gap, and vice versa. “It will increase the reliability of the system, and after it’s installed, it will be possible to switch off the old generation plants that use coal,” says Ghiani. In January, Terna finished laying the western section of the cable between Sardinia and Sicily, and in April it completed the eastern section between Sicily and Campania on the mainland. Doing so set a world record for power cable depth, at 2,150 meters below sea level, according to Terna. Italy originally ordered Sardinia’s two coal plants to shut down by 2025 but later extended the deadline to 2038. The link is one of the most innovative high-voltage direct current (HVDC) projects in Europe. It can move up to a gigawatt of power and reverse that power flow nearly instantaneously. By using voltage source converter (VSC) technology, it can also help prevent power-flow problems by regulating frequency and smoothing out oscillations in the grid in real time. And it has black-start capability: In the event of a shutdown, it can help restore the grid without relying on an external electric network. These features are particularly helpful for an isolated network like Sardinia’s. Italy has created new incentives and regulations to build a market for grid-scale energy storage. Having plenty of storage is a key to scaling up renewables because it provides backup power when the wind isn’t blowing or the sun isn’t shining. To this end, Italy created MACSE, an auction that gives storage developers revenue certainty. Its name translates to mechanism for the procurement of electricity storage capacity. The first auction round, in September, successfully awarded 10 GWh. Energy experts in Sardinia are also working with policymakers to change the rules around grid-connection requests. But these kinds of nerdy details don’t grace most household conversations. Industrial Sites Host Energy Storage Something more accessible that the public can get behind is building renewables on Sardinia’s abandoned industrial sites. “To be honest, not everything is so beautiful here. We have a lot of industrial areas where you can place PV panels. We have a lot of rooftops,” electrical engineer Pilo says. “We have unused coal mines.” I visit one such project that’s proceeding with local support—or at least without much opposition. It’s a coal mine near Gonnesa that shut down in 2018 and is now being turned into a data center and a pumped-hydro energy storage system. The plan is to move water through the mine’s vertical geometry via an enclosed membrane—like a soft pipe—and use the flow to turn a turbine that generates electricity. The water then gets pumped back to the surface and stored in pear-shaped vessels above ground. The scheme will help power the data center, which will be built both above and below ground, including in the mine’s largest chambers nearly 500 meters below the Earth’s surface. Energy Vault will remove old mining equipment from the Carbosulcis coal mine near Gonnesa to make way for an underground data center [above]. It will be powered by a pumped-hydro energy storage system that flows through the mine’s vertical geometry and stores water in above-ground tanks [top].Luigi Avantaggiato Energy storage developer Energy Vault is building it, and despite being based in Lugano, Switzerland—that is, not Sardinia—the company seems to have avoided protest. It helps that the mine is owned by Carbosulcis, a Sardinian regional-government-owned company, which is calling the shots on the project. Plus, doing nothing with the mine costs money. The mine closed eight years ago because it wasn’t profitable, but Carbosulcis must continue maintaining it because of its high methane emissions, which require monitoring and ventilation to prevent explosions and leaks. Carbosulcis managers figured that if they’re going to continue putting money and personnel into the mine, they might as well do something useful with it, Luca Manzella, vice president for Europe, Middle East, and Africa at Energy Vault, says as he and I tour the mine. An innovative project in Sardinia’s interior—Energy Dome’s grid-scale carbon dioxide battery—seems to be avoiding protest as well. Built in a gated industrial complex near Ottana, this energy-storage facility looks like a giant bubble—the kind that fits over a stadium or tennis complex. It’s filled with carbon dioxide that is compressed to store 200 MWh of electricity for the grid. Although the bubble is visible from several of the surrounding hillside villages, and although the developer is headquartered on the mainland, there’s little sign of public pushback. Energy Dome began operating its 20-megawatt, long-duration energy-storage facility in July 2025 in Ottana, Sardinia. In partnership with Google, the company this year aims to build replicas of the system on multiple continents.Luigi Avantaggiato Another path forward is through “energy communities.” In this grassroots approach, consumers work together to build their own solar plant or other power generation. Dozens of these communities are already active on the island, according to the Sardinian Electricity Association, a group that provides guidance to consumers. But by far the greatest need is for energy developers and authorities to understand the people and the history of the land on which they want to build. “When Europe or the national government make a law, they have to also consider the background of Sardinian people and why they are so afraid,” says Simone Micheletti, CEO at Futura Group, a renewable-energy developer based in Serramanna, Sardinia. “You cannot apply the same law to Sweden and Sicily. Sometimes you need to understand [the situation] locally,” he says. Decision makers everywhere would be wise to listen. Otherwise, they may suffer the same fate as their counterparts in Sardinia: despised by locals, delayed by politics, and surprised at how badly it all went. Special thanks to Luigi Avantaggiato for interpreting and additional reporting. This story was updated on 13 May, 2026 to correct the percentage of electricity that Sardinia exports.

IEEE Smart Village Is Helping to Electrify Rural Cameroon

More than 30 years ago, in the mountain village of Mbem in northwest Cameroon, the moon and stars in the night sky were the only light young Jude Numfor knew after the sunset. Electricity had not yet reached his rural community. “There was one person in the village with a petrol generator and a small television,” Numfor says. “When he turned it on, all the children would run to his house and peep through the window.” That memory became the spark for Numfor’s mission: to bring electricity to rural communities like his hometown. To accomplish his goal, in 2006 he cofounded Wireless Light and Power, since renamed Renewable Energy Innovators Cameroon, and he serves as its CEO. REI Cameroon designs, installs, and maintains solar minigrids for rural electrification. The minigrids use photovoltaic technology and battery-energy storage systems to generate electricity at 50 hertz. The electricity is distributed through smart meters. In 2017 the company received a grant from IEEE Smart Village to fund the expansion of REI’s minigrid operations and refine its business model. Smart Village supports projects and organizations bringing electricity and educational and employment opportunities to remote communities worldwide. The program is supported by IEEE societies and donations to the IEEE Foundation. The partnership has led to a collaboration developing open source metering, a free, community-driven way of tracking energy usage. Unlike proprietary utility meters, the system allows users, researchers, and utilities to view, customize, and verify how data is collected, ensuring transparency in billing, consumption tracking, and grid management. Smart Village’s support has been pivotal, Numfor says: “It’s not just about money. We share ideas, we get advice, and we have made friends. Entrepreneurship is lonely, but with the [Smart Village] community, it is different.” From teenage tinkerer to entrepreneur Numfor’s first experience of life with electricity was in 2001, after moving in with a missionary family in the small village of Allat. They used solar panels to power their whole home—an unimaginable luxury in Mbem. “I could watch TV, eat ice cream, and turn on lights,” he says. “It made me wish my brothers in Mbem had the same opportunity.” Numfor’s curiosity about electricity was ignited when a motion-sensor solar light in the family’s home stopped working. He tinkered with the device to find out why. “My missionary family told me to play with it like a toy,” he says, laughingly. “I replaced the dead battery with a motorcycle battery and was able to bring the power back for the night.” Jude Numfor [right] testing a rechargeable solar lantern, which aimed to replace hazardous kerosene lamps—known locally as “bush lamps.”REI Cameroon His missionary parents encouraged Numfor to study technology and engineering on his own, as none of the country’s universities offered solar energy educational programs at the time. They built him a library and stocked it with books on engineering, management, and entrepreneurship. In 2006, armed with his new knowledge, Numfor launched Wireless Light and Power with a friend, Ludwig Teichgraber. The nonprofit aimed to replace hazardous kerosene lamps—known locally as “bush lamps”—with rechargeable solar lanterns. These solar lanterns—called “light packs”—were built locally by Numfor and a team of 11 young Cameroonians using PVC pipes, nickel-metal hydride batteries, and LED bulbs. Families rented the lamps for a small fee, swapping discharged lamps for fully charged ones at solar-powered charging kiosks when they ran out of power. The kiosks then recharged the depleted lamps, making them available for the next swap. “The solar lantern was safer and cleaner, plus it gave children a chance to read at night,” Numfor explains. “People loved them.” Between 2006 and 2010, his team replicated the model across several villages. But when the global financial crisis hit in 2008, donor support dwindled, forcing the organization to evolve. “We pivoted from being an NGO to a commercial venture,” he says. “That’s how REI was born.” Building solar minigrids to serve community needs The new company’s goal was to move away from the lanterns and toward full electrification of communities. Villagers’ aspirations changed, Numfor says, as they now wanted to power their TVs, music systems, and mobile phones. In response, in 2010, REI developed one of the first solar minigrids in West Africa. Using locally procured components, the prototype supplied steady power to six households. The minigrid system used 12 123-watt solar photovoltaic panels manufactured by Sharp, 16 12-volt 100 ampere-hour automatic gain control lead acid batteries, and a Xantrex charge controller and inverter. Locally sourced wooden light poles were erected to distribute electricity throughout the village. REI charged each household a fee for the electricity. “It was a product-market-fit moment,” Numfor says. “People immediately asked, ‘When can we get this, too?’” The word-of-mouth, grassroots growth caught the attention of global partners. Numfor connected with Smart Village and in 2017, REI Cameroon received its first seed grant from the program. With that funding, Numfor was able to grow organically and attract additional grants, including one from the U.S. Trade Development Agency (USTDA), in partnership with the U.S. Department of Energy’s National Renewable Energy Laboratory. REI has since expanded to six villages, providing power to more than 1,000 households and businesses. With a dedicated team of 16 people, the company operates in multiple regions of the country, each with unique terrain, languages, and cultural dynamics. “It wasn’t easy,” he acknowledges. “I’m not an academic person—I had to learn everything by doing. [Smart Village] helped me structure the project and grow as an entrepreneur.” Today, Numfor pays it forward by sharing his Smart Village experience and mentoring new entrepreneurs. Launching a coalition for smart metering Minigrids can’t operate efficiently without clarifying operating rules to ensure quality service requirements and consumer protection, while also enabling reliable and effective monitoring of the system, Numfor says. “We need to know how power is being used, detect problems early, and manage the minigrid from a distance,” he explains. Existing commercial smart-meter providers offer limited and proprietary solutions. One major provider left the market, making their technology infrastructure obsolete. “It’s risky for an entire sector to depend on a few companies for such a critical technology,” Numfor says. In 2025, with the help of the Smart Village technical community, Numfor convened a consortium of open-source power advocates, including the Africa Mini-Grid Developers Association, EnAccess, Energy IOT, and NESL. The goal was to develop an open smart metering system that is accessible, transparent, and sustainable for all energy providers. “These organizations are collaborating as Open Advanced Metering Infrastructure [OpenAMI], which is about giving control back to the people who deliver the energy,” he says. Scaling for impact Numfor’s passion has grown from bringing light to local rural communities to bringing light to his entire country. Just 54 percent of Cameroon’s citizens have access to electricity, according to the International Energy Agency. For Numfor, the challenge is not just technological—it’s social and economic as well. “Electricity is the most important enabler of education and economic growth today,” he says. “When you have power, you unlock everything else.” “Electricity changed my life. Now I want to make sure every child can grow up with that same light.” —Jude Numfor Across the villages where REI has installed sustainable electricity solutions, small businesses are flourishing. Barbershops hum with community chatter, food vendors can preserve perishables, and entrepreneurs run companies such as phone-charging stations and small mills. “Some villages even have laundromats now,” Numfor says proudly. “Electricity creates jobs and changes mindsets.” Still, it has been a bumpy journey. It wasn’t until 2025 that REI obtained its official authorization (license) from Cameroon’s government to produce and distribute electricity in off-grid areas using solar minigrids. This was a major milestone because REI is one of the first private enterprises in the country to receive such authorization. “We were stuck between pilot projects and growth,” he explains. “Our projects were successful, and there was community demand for more, but to grow, we needed investors who require legal guarantees before committing funds. Now we can scale up and attract investors.” REI plans to expand its reach dramatically, beginning with 134 new villages identified through a feasibility study supported by the USTDA. Their long-term goal is to electrify 760 villages across Cameroon by 2031. While authorization opens doors, financing remains one of REI’s biggest challenges. “The minigrid space doesn’t attract venture capitalists easily,” Numfor notes. “Our return on investment is under 15 percent, so it’s not a typical tech startup model. The real return here is the impact” on the community. He hopes to attract investors who understand that access to electricity drives education, health care, and entrepreneurship. “There are people out there who want to make meaningful change,” he says. “We just need to connect with them. When you electrify a village, you never know who the next innovator will be. Maybe it’s another kid like me, looking through a window, dreaming.” Finding skilled staff is another challenge, Numfor says. To address this, REI developed an intensive recruitment and training process. “It used to take years to find the right people,” he says. “Now, we can identify who fits our company culture within six months.” Numfor’s wife, Angela Taliklong, who joined the venture in 2010, now oversees administration and human resources. A brighter Cameroon and beyond Numfor offers simple words of advice to other impact-driven entrepreneurs: Keep moving. “One of my mistakes early on was trying to be perfect,” he says. “I was spending time improving prototypes instead of increasing the number of our project installations and scaling how many communities we could electrify. You must keep momentum. Don’t wait until everything is perfect before you move forward.” That mindset, rooted in resilience and experimentation, has defined his journey. Rajan Kapur, president of Smart Village, says Numfor is a “shining example” of the program’s vision: “scalable and enduring impact through local entrepreneurs, local procurement, and community engagement based on the use of IEEE technology in underserved communities.” With the ongoing Smart Village partnership, Numfor is determined to bring light and opportunity to every corner of Cameroon, and beyond. He already has launched REI Nigeria. “Electricity changed my life,” he says. “Now I want to make sure every child can grow up with that same light.”

Doha diary: A historian amid the Iran war

Doha diary: A historian amid the Iran war miftahul@theda… Mon, 03/16/2026 - 11:04 Image Doha diary: A historian amid the Iran war (Renowned historian and author, Rila Mukherjee, was scheduled to fly from the USA to India by Qatar Airways [QA] on February 25, 2026. Her route—Shreveport–Dallas Fort Worth–Doha–Kolkata—was expected to bring her to Kolkata on the night of February 26 or in the early hours of February 27. However, as of March 8, she was still stranded in Doha. Qatar’s skies were closed due to the US-Israeli attack on Iran. QA’s commercial flights were suspended. At the time of writing, evacuation flights to India were scheduled to start soon. She reached home on 12 March.) Today is 8 March. I am now camping out in Doha for the ninth day since 28 February. The Qatar airspace is shut and padlocked. The authorities have thrown away the key. Limited numbers of passengers are being flown to Europe and the Americas on evacuation flights (they are called ‘relief flights’) organised by QA, and relief flights to Africa and Asia will start from tomorrow. But for the time being, I am effectively marooned in Doha. Doha is one of the largest airplane hubs in the world, and a cosmopolitan group of transit passengers has been put up by QA in the 4-star The Royal Riviera Hotel. The hotel is situated on Doha’s Corniche. It is an ageing hotel; not terribly posh, and the plumbing is a bit iffy. But it is well located, with comfortable rooms, and it is a clean and friendly hotel. I feel safe here. Its staff is composed of Asians (from Bangladesh, the Philippines, Sri Lanka, Nepal), North Africans (Algerians and Moroccans mostly) and some West Asians. All of them are helpful despite the pressures they are facing. They deal gracefully with the diverse demands and complaints of the passengers. My room faces the Corniche and I can see the Persian Gulf from my window. As a maritime historian, this makes me very happy. This country and its national airline are looking after us very well and, really, I have no complaints. QA’s representatives visit the hotel twice daily. There is no information forthcoming on my evacuation to Kolkata, and the greater part of passenger bags are still to arrive at the hotel. My South African neighbour says one of their bags has not been delivered; perhaps it is lost. We are largely dependent on the clothes we have on our backs and those we had in our carry-on. Most of us are washing and drying them overnight. We have to use the hair dryer if they are still not dry. My bags came in today, i.e., 8 March. There are some elderly travellers. Many of them say that their medicines are running out. Mine will last another week. Will I be able to get out by then? We are told that a limited air corridor may open today; alternatively, we may be evacuated by the land route through Saudi Arabia to Riyadh (this would take around seven hours), where a leased QA aircraft may take us to India. But we have to make our own arrangements for the Saudi e-visa and overland travel. This seems a risky enterprise. And whether this potential leased aircraft would fly me direct to Kolkata is not known. There is no clarity to date. *** But if I was scheduled to arrive in Kolkata on 27 February (and the war broke out a day later, on 28 February), how is it that I am still in Doha Ah, thereby hangs a tale! It is a cautionary tale on buying air tickets with multiple connections, and what ensues when the first connection does not take off as per schedule. *** I had spent nine weeks in Shreveport with my son and daughter-in-law and was scheduled to leave on 25 February. Unfortunately, my flight from Shreveport to Dallas Fort Worth (DFW) by QA’s codeshare partner American Airlines (AA) did not take off. We were told that the incoming flight had nose gear problems and therefore could not land. Ultimately it made an emergency landing. Fire engines, firefighters, EMTs and ambulances were standing by. Luckily, there was no fireball and there were no casualties. The vice-chair of my daughter-in-law’s department was on that flight; I bumped into him in the terminal as he deplaned, and he said that the landing had been really scary. There were no more AA flights to DFW that day. Roo and Stephanie came back to the airport and took me home. I spent a restless night. I hate flying at the best of times. I was put on the same AA flight the next day, on 26 February, but when I reached DFW I was told that my connection flight to Doha was full. Apparently, the AA staff at Shreveport Regional Airport knew there were no seats on that flight; nevertheless they sent me on to DFW hoping I would ‘sort out’ the matter with AA’s customer care there. The only ‘sorting out’ that AA did at DFW was to put me on a later QA flight to Doha on the same day, that is, late evening on 26 February. It was a smaller aircraft (not the Airbus 350 on which I was ticketed), the flight was cramped and some of my co-passengers were not very well behaved. One lady kept on drinking; she skipped the meal service and was quite abusive. Another one, African American, told me that as an ‘American’ she was superior to Asians. Right, I thought, we all know how you as a Black person got there!!! In all my years of travelling I have never encountered such blatant racism. When we reached Doha very late on the night of 27 February (almost 24 hours later due to the time difference with DFW), I had missed that evening’s flight to Kolkata! No problem, QA’s customer care said, we’ll talk with AA as it is their problem. This took a while, so I went off to buy myself a snack at Brioche Dorée in the airport’s food court. By then it was early morning on 28 February. Readers, note the date! *** AA agreed to comp me a room for the remainder of the night at The Royal Riviera Hotel. I was granted a 48-hour emergency visa by Qatar Immigration and I was shifted to the hotel on 28 February at 2 AM. QA’s ground staff helped me throughout. The room was comfortable, the bed looked inviting, and I went to sleep, confident that my Kolkata flight would take off as scheduled at 18.45 hours on that day itself (that is, 28 February). At that point, I was going to reach only 24 hours behind my original schedule. I informed Kolkata and asked my driver to collect me from the airport accordingly. *** On 28 February, I was woken around 8 AM by a strange sound from my cell phone. It was a very loud, continuous screech. I don’t have international roaming and I wondered who was calling me and what was happening. I saw a ‘Security Alert’ on my screen but the text was in Arabic. I started hearing thuds and bangs. Another alert, still in Arabic, came in. What was going on? I was mystified. I was now getting alerts in English. It said the US and Israel had jointly attacked Iran. US bases and embassies and consulates across the Gulf were vulnerable. Qatar was in this critical area. Sirens were going off. I started watching Al Jazeera and Richard Engel on NBC. This was Day 1. Smoke rises following an explosion, after Israel and the US launched strikes on Iran, in Tehran, Iran, February 28, 2026. PHOTO: REUTERS By Day 2, the Gulf was not just lying in a war zone; it had been converted into a theatre of war. Doha was undergoing regular drone strikes and missile attacks. Day 3 was relatively quiet. Apparently, Qatar and Iran had a phone conversation, and Qatar urged Iran to stop the strikes. But our temporary visas were extended by Qatar. This was an indication that the phone call was not conclusive. This war was not going to end anytime soon. The Qatar–Iran conversation does not seem to have yielded the desired result. There is no relief from Iranian attacks. These now form the backdrop to our daily life at The Royal Riviera. Drone attacks and missile strikes re-started from Day 4. None of them target the downtown area; they target only the US base and industrial areas in Qatar. Most of the drones and missiles are successfully intercepted; the few that are not cause localised fires. The attacks usually happen around breakfast and lunch, and sometimes they occur very late at night or in the early morning hours. This means we are always in a state of extreme alert. It is jarring on the nerves. We can neither eat properly nor rest. We are getting stressed out. But I must also mention that the attacks and interceptions sound more like Diwali patakas than the very loud explosions that one expects. *** Days 4 till 9 (that is, till date) have seen this regional war extending from land to sea: from the Hormuz Strait to the Indian Ocean. This is now becoming very serious. Critical choke points like this strait have become a curse. Ports across the Gulf are lying idle; almost no cargo is getting through. But we have had no alerts today. Does this mean that Iran will not strike Qatar for the time being? Is this a temporary reprieve? Will relief flights be able to take off? *** Some bags arrived at the hotel on Day 5. Mine were not among them. By Days 6 and 7 we have more or less settled into what is turning out to be our semi-permanent home. The hotel is no longer very ‘royal’; it has taken on the character of a London bedsit. Or a council housing estate in one of the UK’s inner cities! Children play noisy games in the corridors, an oddly comforting sound among the explosions, security alerts and sirens that go on regularly. I see an enormous solidarity among the travellers, both on my floor and when we meet up at meal times. I have a very nice South African couple next door who check on me each morning, always asking how I am faring (‘please don’t hesitate to knock if you face any difficulties’). They have even offered to take me out to buy clothes (this was before my bags arrived). Elegant MENA (Middle East North Africa) people greet me each day at breakfast, a young Pakistani financial analyst from Toronto shares his insights with me at the breakfast table, and a British couple advise me to carry my passport with me at all times (especially when I leave my room in case of an attack and subsequent fire). They kindly offered to buy me my medicines, although they are at least a decade older than me. A young school teacher from Geneva shares my table at dinner. I have not seen her lately; perhaps she has already been repatriated on one of the relief flights to Europe which started operating from Day 7. The British couple and the South Africans are still here; the Pakistani man left for Toronto early this morning. He was given only two hours’ notice and he phoned my room to say goodbye at 1.15 AM this morning. *** What does my daily schedule look like? It is like what I imagine a day at boarding school would be. Because it is Ramadan, the hotel starts the breakfast buffet from 3 AM, lunch is from 12 noon, and dinner is over by 7.30. The food served (although mild in taste and quasi-institutional as regards the daily menu, which does not rotate much in terms of items), is nevertheless amazingly varied as regards the cuisine: Arabic, Turkish, Italian, Spanish and South Asian (the last is not good at all). A lot of lemon is used in the preparations, but practically no onions. This may be due to the fact that there was an onion shortage; onions came in from India only on Day 5. There are loads of different kinds of salads, some bland European cheeses and diverse types of hummus. In addition, there is feta cheese, stuffed vine leaves, green and black olives, veg and non-veg samosas and spring rolls, koftas, and baba ghanoush or baingan bharta. Good cappuccinos and lattes. Flaky croissants and brioches, pastries and amazing Arabian/Persian/Yemeni sweets. A decadent baked (and often caramelised) bread pudding called Umm Ali is served at dinner. Obviously, the Qatari supermarkets are still well-stocked with FMCG. The Indian-origin Lulu supermarket chain has flown in a whole lot of perishable and non-perishable food items. Strangely, no fresh fruit! *** Gas prices have shot up. I have given up watching the death and destruction on TV, and watch Looney Tunes, Anthony Bourdain, Fawlty Towers and Mr Bean instead. Priyam Paul, my editor at The Daily Star, has sent me some e-books which help to pass the time. When I am not reading, or watching sitcoms, cartoons and travel and food documentaries, I reflect on what brought us to this war. I see the Persian Gulf from my room; it is still a brilliant blue. But it is also desolate since the Hormuz Strait was closed off. I see no cargo ships or container vessels; there are no cruise ships or tankers. For a maritime historian like me, this is not the Persian Gulf I know. After all, it has been a crossroads since recorded history! My India in the Indian Ocean World (2022) documents this history of two thousand years at the very least. Now, mobility is severely constrained. Persian Gulf. Photo: Collected We are living now in a world of fragmented geopolitics, of accelerated climate degradation, and of critical demographic shifts. The world is undergoing these changes along with increasingly disaffected groups of peoples, perhaps terrorists, some of them. We are seeing the rise of AI which, to my mind, is linked, along with the toxicity of social media, with the increasing authoritarianism that we see worldwide. It horrifies me when I see a young nation declare it will bring ‘civilisation’ to Iran. It disregards the fact that Iran-as-Persia predates Arab culture and is one of the world’s oldest culture areas. Not just the glory of Shi’ite Safavid Persia (1501–1736), which political theorists and analysts invoke when describing this civilisational space and whose heritage modern Iran draws on: think of the period from c. 550 BCE to 651 CE (Muslim conquest and start of Islamisation by the Rashidun Caliphate), when four mighty Persian empires ruled a large portion of the then-known world: Achaemenid, Seleucid, Parthian and Sassanian. Persia challenged Egypt, Greece and Rome, and then it faced up to the Ottoman and Russian empires. This memory of resistance of 2500 years will not be easily erased. However, the total disregard of international law and the collapse of the rules-based order will usher in a new regional order in West Asia. This will impact on the Gulf states. Once-biblical Lebanon is almost destroyed by a rampant Israel. Syria has closed its borders. As a rogue USA intimidates Persia and trains its eye on the Caucasus and Azerbaijan, it also destabilises Iraq. Iranian Kurds based in Iraq have been reactivated. How will this impact on the Turkish Kurds? Turkey, a NATO country, is already feeling threatened. The relatively young post-WW1 statelets in the Gulf will lose out in the violent reshuffle in the greater region. The Dubai story was already over. And Oman had lost its sheen even earlier. Financial and service centres will shift eastward—to Singapore or perhaps to KL. As will global airline hubs. The Gulf states will see their importance in location, business and finance diminish. They will have to reconsider their dependence on the USA which has now become a double-edged sword. Iran will endure, but perhaps in a new form. But it will not be erased from the map of the world. Rila Mukherjee is a historian and author of several books. Send your articles for Slow Reads to slowreads@thedailystar.net. Check out our submission guidelines for detail

André Béteille: A sociologist Bangladesh should read

André Béteille: A sociologist Bangladesh should read miftahul@theda… Tue, 02/24/2026 - 00:21 Image André Béteille: A sociologist Bangladesh should read My first encounter with the ideas of Professor André Béteille was in July 1966 in an introductory sociology course at the University of Dhaka (at that time in East Pakistan) through Professor Tom Bottomore’s book, Sociology: A Guide to Problems and Literature (1962). The emphasis on general theory of social stratification for an explanation of the Indian caste system found its empirical reflection, as Bottomore refers to, in the work of Béteille, especially in Caste, Class and Power: Changing Patterns of Stratification in a Tanjore Village (1965). My second encounter with him was in the Fall of 1975 at Dalhousie University, Halifax where I was writing my Master’s thesis under Professor Bottomore, and he referred to read me Béteille’s “Closed and open social stratification” (1966). Reading Béteille after nine years under the Maple tree, I began to admire his empirical depth, comparative methodology, and theoretical clarity, which reshaped my understanding of social hierarchies in India. In the Christmas of 1976, I had an occasion to share some of my understanding of Béteille’s work. At that time, I was at York University, Toronto where I was doing my PhD. Professor K. Ishwaran, one of our faculty members, who wrote Tradition and Economy in Village India (1966), invited me for Christmas dinner-- Turkey with cranberry sauce, cooked by his Dutch wife. There we talked about the contribution of both Béteille and his supervisor M. N. Srinivas towards understanding the impact of social change on Indian social stratification. In order to realistically understand contemporary caste hierarchy, Béteille emphasised the “other factors such as class and power” that “have to be considered as independent variables” (1966). It appeared to me highly useful for comparative empirical research. It creates a distance from traditional essentialist and ideological perspective of inequality. Borrowed from Max Weber, he focused on multidimensionality of stratification and examined how status, economic resources, and political control interact to shape multifarious social order. This was a tremendous contribution in the field of stratification studies. Though he focused on rural stratification, the model is also applicable to the study of urban social stratification. It is puzzling that in Bangladesh universities, both sociology and anthropology disciplines overlooked and neglected the Weberian model of multidimensional stratification system: anthropology remained spell-bound under the dichotomous model of rural “ashraf-atraf”; and sociology was locked in the iron cage of simplistic Marxist model of “land ownership” under the name of peasant studies. In spite of teaching Weber’s “Class, Status, Party” (1922/1946) in the universities, there is a marked absence of the application of Weberian model in the study of rural and urban complex social hierarchy. Probably in Bangladesh, this shows the intellectual bankruptcy of these disciplines, which are suffering from morbidity. In fact, in order to understand contemporary social change in Bangladesh, especially its regime of accumulation under crony capitalism, it is essential to understand the nexus between power and class. The determining power of traditional property ownership in the formation of classes and consequent class consciousness has diminished in Bangladesh. The notion of political capitalism advanced by Max Weber is also useful in understanding Bangladesh social stratification, especially class formation. The party consciousness along with ruling party affiliation, may give legitimate or illegitimate access to economic resources, thereby determining class position in terms of life opportunities and life style. This in turn, heavily influence commodification of prestige and honour; and becomes marker of status. André Beteille (1934 - 2026). Photo: Collected The rural and urban dispossession, which is an integral part of neoliberal and crony capitalism’s regime of accumulation, is also the progenitor of emergent lumpen bourgeoisie, whose class position do not correspond with their demeaning status position. Again, the traditional status group in Bangladesh, as Béteille found in his Tanjore village study with respect to traditional caste, suffer from status dislocation, having less access to power and economic resources. The ontology of inequality and hierarchy can best be understood by the Weberian epistemology. I think study of this process of social change, and its impact on inequality in Bangladesh, is vital towards understanding Bangladesh society. The internationally acclaimed Indian empirical model provided by Béteille can be one of the best guides to study the intersectionality of class, status and power in both urban and rural Bangladesh. It is unfortunate that social sciences in Bangladesh have neglected such a significant social dynamic that affects all our lives. In March 1989, Professor Abhijit Dasgupta, a colleague of Professor Béteille, facilitated my direct meeting with him. Professor Dasgupta was kind enough to arrange a seminar talk by me in the sociology department of Delhi School of Economics. After the seminar, I paid a visit to Professor Béteille’s office room. He was very warm and hospitable to offer tea to me and my wife. He spoke in Bangla and affirmed his Bangali origin. I felt very comfortable to have a vibe of Bengal. I mentioned to him how I came to know of his work à la Bottomore and Ishwaran. I was so surprised to experience his stock of knowledge mediated by modesty and simplicity. The meeting with professor Béteille during the short-lived spring of Delhi was one of the most memorable events of my life. I wish his conceptual and methodological clarity inspire the young Bangladeshi sociologists to break the chain of ignorance, myopic framework, and the hegemony of intellectual infantilism. A.I. Mahbub Uddin Ahmed is a professor in the Department of Sociology at the University of Dhaka. Send your articles for Slow Reads to slowreads@thedailystar.net. Check out our submission guidelines for details.

Andrew Ng: Unbiggen AI

Andrew Ng has serious street cred in artificial intelligence. He pioneered the use of graphics processing units (GPUs) to train deep learning models in the late 2000s with his students at Stanford University, cofounded Google Brain in 2011, and then served for three years as chief scientist for Baidu, where he helped build the Chinese tech giant’s AI group. So when he says he has identified the next big shift in artificial intelligence, people listen. And that’s what he told IEEE Spectrum in an exclusive Q&A. Ng’s current efforts are focused on his company Landing AI, which built a platform called LandingLens to help manufacturers improve visual inspection with computer vision. He has also become something of an evangelist for what he calls the data-centric AI movement, which he says can yield “small data” solutions to big issues in AI, including model efficiency, accuracy, and bias. Andrew Ng on... What’s next for really big models The career advice he didn’t listen to Defining the data-centric AI movement Synthetic data Why Landing AI asks its customers to do the work The great advances in deep learning over the past decade or so have been powered by ever-bigger models crunching ever-bigger amounts of data. Some people argue that that’s an unsustainable trajectory. Do you agree that it can’t go on that way? Andrew Ng: This is a big question. We’ve seen foundation models in NLP [natural language processing]. I’m excited about NLP models getting even bigger, and also about the potential of building foundation models in computer vision. I think there’s lots of signal to still be exploited in video: We have not been able to build foundation models yet for video because of compute bandwidth and the cost of processing video, as opposed to tokenized text. So I think that this engine of scaling up deep learning algorithms, which has been running for something like 15 years now, still has steam in it. Having said that, it only applies to certain problems, and there’s a set of other problems that need small data solutions. When you say you want a foundation model for computer vision, what do you mean by that? Ng: This is a term coined by Percy Liang and some of my friends at Stanford to refer to very large models, trained on very large data sets, that can be tuned for specific applications. For example, GPT-3 is an example of a foundation model [for NLP]. Foundation models offer a lot of promise as a new paradigm in developing machine learning applications, but also challenges in terms of making sure that they’re reasonably fair and free from bias, especially if many of us will be building on top of them. What needs to happen for someone to build a foundation model for video? Ng: I think there is a scalability problem. The compute power needed to process the large volume of images for video is significant, and I think that’s why foundation models have arisen first in NLP. Many researchers are working on this, and I think we’re seeing early signs of such models being developed in computer vision. But I’m confident that if a semiconductor maker gave us 10 times more processor power, we could easily find 10 times more video to build such models for vision. Having said that, a lot of what’s happened over the past decade is that deep learning has happened in consumer-facing companies that have large user bases, sometimes billions of users, and therefore very large data sets. While that paradigm of machine learning has driven a lot of economic value in consumer software, I find that that recipe of scale doesn’t work for other industries. Back to top It’s funny to hear you say that, because your early work was at a consumer-facing company with millions of users. Ng: Over a decade ago, when I proposed starting the Google Brain project to use Google’s compute infrastructure to build very large neural networks, it was a controversial step. One very senior person pulled me aside and warned me that starting Google Brain would be bad for my career. I think he felt that the action couldn’t just be in scaling up, and that I should instead focus on architecture innovation. “In many industries where giant data sets simply don’t exist, I think the focus has to shift from big data to good data. Having 50 thoughtfully engineered examples can be sufficient to explain to the neural network what you want it to learn.” —Andrew Ng, CEO & Founder, Landing AI I remember when my students and I published the first NeurIPS workshop paper advocating using CUDA, a platform for processing on GPUs, for deep learning—a different senior person in AI sat me down and said, “CUDA is really complicated to program. As a programming paradigm, this seems like too much work.” I did manage to convince him; the other person I did not convince. I expect they’re both convinced now. Ng: I think so, yes. Over the past year as I’ve been speaking to people about the data-centric AI movement, I’ve been getting flashbacks to when I was speaking to people about deep learning and scalability 10 or 15 years ago. In the past year, I’ve been getting the same mix of “there’s nothing new here” and “this seems like the wrong direction.” Back to top How do you define data-centric AI, and why do you consider it a movement? Ng: Data-centric AI is the discipline of systematically engineering the data needed to successfully build an AI system. For an AI system, you have to implement some algorithm, say a neural network, in code and then train it on your data set. The dominant paradigm over the last decade was to download the data set while you focus on improving the code. Thanks to that paradigm, over the last decade deep learning networks have improved significantly, to the point where for a lot of applications the code—the neural network architecture—is basically a solved problem. So for many practical applications, it’s now more productive to hold the neural network architecture fixed, and instead find ways to improve the data. When I started speaking about this, there were many practitioners who, completely appropriately, raised their hands and said, “Yes, we’ve been doing this for 20 years.” This is the time to take the things that some individuals have been doing intuitively and make it a systematic engineering discipline. The data-centric AI movement is much bigger than one company or group of researchers. My collaborators and I organized a data-centric AI workshop at NeurIPS, and I was really delighted at the number of authors and presenters that showed up. You often talk about companies or institutions that have only a small amount of data to work with. How can data-centric AI help them? Ng: You hear a lot about vision systems built with millions of images—I once built a face recognition system using 350 million images. Architectures built for hundreds of millions of images don’t work with only 50 images. But it turns out, if you have 50 really good examples, you can build something valuable, like a defect-inspection system. In many industries where giant data sets simply don’t exist, I think the focus has to shift from big data to good data. Having 50 thoughtfully engineered examples can be sufficient to explain to the neural network what you want it to learn. When you talk about training a model with just 50 images, does that really mean you’re taking an existing model that was trained on a very large data set and fine-tuning it? Or do you mean a brand new model that’s designed to learn only from that small data set? Ng: Let me describe what Landing AI does. When doing visual inspection for manufacturers, we often use our own flavor of RetinaNet. It is a pretrained model. Having said that, the pretraining is a small piece of the puzzle. What’s a bigger piece of the puzzle is providing tools that enable the manufacturer to pick the right set of images [to use for fine-tuning] and label them in a consistent way. There’s a very practical problem we’ve seen spanning vision, NLP, and speech, where even human annotators don’t agree on the appropriate label. For big data applications, the common response has been: If the data is noisy, let’s just get a lot of data and the algorithm will average over it. But if you can develop tools that flag where the data’s inconsistent and give you a very targeted way to improve the consistency of the data, that turns out to be a more efficient way to get a high-performing system. “Collecting more data often helps, but if you try to collect more data for everything, that can be a very expensive activity.” —Andrew Ng For example, if you have 10,000 images where 30 images are of one class, and those 30 images are labeled inconsistently, one of the things we do is build tools to draw your attention to the subset of data that’s inconsistent. So you can very quickly relabel those images to be more consistent, and this leads to improvement in performance. Could this focus on high-quality data help with bias in data sets? If you’re able to curate the data more before training? Ng: Very much so. Many researchers have pointed out that biased data is one factor among many leading to biased systems. There have been many thoughtful efforts to engineer the data. At the NeurIPS workshop, Olga Russakovsky gave a really nice talk on this. At the main NeurIPS conference, I also really enjoyed Mary Gray’s presentation, which touched on how data-centric AI is one piece of the solution, but not the entire solution. New tools like Datasheets for Datasets also seem like an important piece of the puzzle. One of the powerful tools that data-centric AI gives us is the ability to engineer a subset of the data. Imagine training a machine-learning system and finding that its performance is okay for most of the data set, but its performance is biased for just a subset of the data. If you try to change the whole neural network architecture to improve the performance on just that subset, it’s quite difficult. But if you can engineer a subset of the data you can address the problem in a much more targeted way. When you talk about engineering the data, what do you mean exactly? Ng: In AI, data cleaning is important, but the way the data has been cleaned has often been in very manual ways. In computer vision, someone may visualize images through a Jupyter notebook and maybe spot the problem, and maybe fix it. But I’m excited about tools that allow you to have a very large data set, tools that draw your attention quickly and efficiently to the subset of data where, say, the labels are noisy. Or to quickly bring your attention to the one class among 100 classes where it would benefit you to collect more data. Collecting more data often helps, but if you try to collect more data for everything, that can be a very expensive activity. For example, I once figured out that a speech-recognition system was performing poorly when there was car noise in the background. Knowing that allowed me to collect more data with car noise in the background, rather than trying to collect more data for everything, which would have been expensive and slow. Back to top What about using synthetic data, is that often a good solution? Ng: I think synthetic data is an important tool in the tool chest of data-centric AI. At the NeurIPS workshop, Anima Anandkumar gave a great talk that touched on synthetic data. I think there are important uses of synthetic data that go beyond just being a preprocessing step for increasing the data set for a learning algorithm. I’d love to see more tools to let developers use synthetic data generation as part of the closed loop of iterative machine learning development. Do you mean that synthetic data would allow you to try the model on more data sets? Ng: Not really. Here’s an example. Let’s say you’re trying to detect defects in a smartphone casing. There are many different types of defects on smartphones. It could be a scratch, a dent, pit marks, discoloration of the material, other types of blemishes. If you train the model and then find through error analysis that it’s doing well overall but it’s performing poorly on pit marks, then synthetic data generation allows you to address the problem in a more targeted way. You could generate more data just for the pit-mark category. “In the consumer software Internet, we could train a handful of machine-learning models to serve a billion users. In manufacturing, you might have 10,000 manufacturers building 10,000 custom AI models.” —Andrew Ng Synthetic data generation is a very powerful tool, but there are many simpler tools that I will often try first. Such as data augmentation, improving labeling consistency, or just asking a factory to collect more data. Back to top To make these issues more concrete, can you walk me through an example? When a company approaches Landing AI and says it has a problem with visual inspection, how do you onboard them and work toward deployment? Ng: When a customer approaches us we usually have a conversation about their inspection problem and look at a few images to verify that the problem is feasible with computer vision. Assuming it is, we ask them to upload the data to the LandingLens platform. We often advise them on the methodology of data-centric AI and help them label the data. One of the foci of Landing AI is to empower manufacturing companies to do the machine learning work themselves. A lot of our work is making sure the software is fast and easy to use. Through the iterative process of machine learning development, we advise customers on things like how to train models on the platform, when and how to improve the labeling of data so the performance of the model improves. Our training and software supports them all the way through deploying the trained model to an edge device in the factory. How do you deal with changing needs? If products change or lighting conditions change in the factory, can the model keep up? Ng: It varies by manufacturer. There is data drift in many contexts. But there are some manufacturers that have been running the same manufacturing line for 20 years now with few changes, so they don’t expect changes in the next five years. Those stable environments make things easier. For other manufacturers, we provide tools to flag when there’s a significant data-drift issue. I find it really important to empower manufacturing customers to correct data, retrain, and update the model. Because if something changes and it’s 3 a.m. in the United States, I want them to be able to adapt their learning algorithm right away to maintain operations. In the consumer software Internet, we could train a handful of machine-learning models to serve a billion users. In manufacturing, you might have 10,000 manufacturers building 10,000 custom AI models. The challenge is, how do you do that without Landing AI having to hire 10,000 machine learning specialists? So you’re saying that to make it scale, you have to empower customers to do a lot of the training and other work. Ng: Yes, exactly! This is an industry-wide problem in AI, not just in manufacturing. Look at health care. Every hospital has its own slightly different format for electronic health records. How can every hospital train its own custom AI model? Expecting every hospital’s IT personnel to invent new neural-network architectures is unrealistic. The only way out of this dilemma is to build tools that empower the customers to build their own models by giving them tools to engineer the data and express their domain knowledge. That’s what Landing AI is executing in computer vision, and the field of AI needs other teams to execute this in other domains. Is there anything else you think it’s important for people to understand about the work you’re doing or the data-centric AI movement? Ng: In the last decade, the biggest shift in AI was a shift to deep learning. I think it’s quite possible that in this decade the biggest shift will be to data-centric AI. With the maturity of today’s neural network architectures, I think for a lot of the practical applications the bottleneck will be whether we can efficiently get the data we need to develop systems that work well. The data-centric AI movement has tremendous energy and momentum across the whole community. I hope more researchers and developers will jump in and work on it. Back to top This article appears in the April 2022 print issue as “Andrew Ng, AI Minimalist.”

How AI Will Change Chip Design

The end of Moore’s Law is looming. Engineers and designers can do only so much to miniaturize transistors and pack as many of them as possible into chips. So they’re turning to other approaches to chip design, incorporating technologies like AI into the process. Samsung, for instance, is adding AI to its memory chips to enable processing in memory, thereby saving energy and speeding up machine learning. Speaking of speed, Google’s TPU V4 AI chip has doubled its processing power compared with that of its previous version. But AI holds still more promise and potential for the semiconductor industry. To better understand how AI is set to revolutionize chip design, we spoke with Heather Gorr, senior product manager for MathWorks’ MATLAB platform. How is AI currently being used to design the next generation of chips? Heather Gorr: AI is such an important technology because it’s involved in most parts of the cycle, including the design and manufacturing process. There’s a lot of important applications here, even in the general process engineering where we want to optimize things. I think defect detection is a big one at all phases of the process, especially in manufacturing. But even thinking ahead in the design process, [AI now plays a significant role] when you’re designing the light and the sensors and all the different components. There’s a lot of anomaly detection and fault mitigation that you really want to consider. Heather GorrMathWorks Then, thinking about the logistical modeling that you see in any industry, there is always planned downtime that you want to mitigate; but you also end up having unplanned downtime. So, looking back at that historical data of when you’ve had those moments where maybe it took a bit longer than expected to manufacture something, you can take a look at all of that data and use AI to try to identify the proximate cause or to see something that might jump out even in the processing and design phases. We think of AI oftentimes as a predictive tool, or as a robot doing something, but a lot of times you get a lot of insight from the data through AI. What are the benefits of using AI for chip design? Gorr: Historically, we’ve seen a lot of physics-based modeling, which is a very intensive process. We want to do a reduced order model, where instead of solving such a computationally expensive and extensive model, we can do something a little cheaper. You could create a surrogate model, so to speak, of that physics-based model, use the data, and then do your parameter sweeps, your optimizations, your Monte Carlo simulations using the surrogate model. That takes a lot less time computationally than solving the physics-based equations directly. So, we’re seeing that benefit in many ways, including the efficiency and economy that are the results of iterating quickly on the experiments and the simulations that will really help in the design. So it’s like having a digital twin in a sense? Gorr: Exactly. That’s pretty much what people are doing, where you have the physical system model and the experimental data. Then, in conjunction, you have this other model that you could tweak and tune and try different parameters and experiments that let sweep through all of those different situations and come up with a better design in the end. So, it’s going to be more efficient and, as you said, cheaper? Gorr: Yeah, definitely. Especially in the experimentation and design phases, where you’re trying different things. That’s obviously going to yield dramatic cost savings if you’re actually manufacturing and producing [the chips]. You want to simulate, test, experiment as much as possible without making something using the actual process engineering. We’ve talked about the benefits. How about the drawbacks? Gorr: The [AI-based experimental models] tend to not be as accurate as physics-based models. Of course, that’s why you do many simulations and parameter sweeps. But that’s also the benefit of having that digital twin, where you can keep that in mind—it’s not going to be as accurate as that precise model that we’ve developed over the years. Both chip design and manufacturing are system intensive; you have to consider every little part. And that can be really challenging. It’s a case where you might have models to predict something and different parts of it, but you still need to bring it all together. One of the other things to think about too is that you need the data to build the models. You have to incorporate data from all sorts of different sensors and different sorts of teams, and so that heightens the challenge. How can engineers use AI to better prepare and extract insights from hardware or sensor data? Gorr: We always think about using AI to predict something or do some robot task, but you can use AI to come up with patterns and pick out things you might not have noticed before on your own. People will use AI when they have high-frequency data coming from many different sensors, and a lot of times it’s useful to explore the frequency domain and things like data synchronization or resampling. Those can be really challenging if you’re not sure where to start. One of the things I would say is, use the tools that are available. There’s a vast community of people working on these things, and you can find lots of examples [of applications and techniques] on GitHub or MATLAB Central, where people have shared nice examples, even little apps they’ve created. I think many of us are buried in data and just not sure what to do with it, so definitely take advantage of what’s already out there in the community. You can explore and see what makes sense to you, and bring in that balance of domain knowledge and the insight you get from the tools and AI. What should engineers and designers consider when using AI for chip design? Gorr: Think through what problems you’re trying to solve or what insights you might hope to find, and try to be clear about that. Consider all of the different components, and document and test each of those different parts. Consider all of the people involved, and explain and hand off in a way that is sensible for the whole team. How do you think AI will affect chip designers’ jobs? Gorr: It’s going to free up a lot of human capital for more advanced tasks. We can use AI to reduce waste, to optimize the materials, to optimize the design, but then you still have that human involved whenever it comes to decision-making. I think it’s a great example of people and technology working hand in hand. It’s also an industry where all people involved—even on the manufacturing floor—need to have some level of understanding of what’s happening, so this is a great industry for advancing AI because of how we test things and how we think about them before we put them on the chip. How do you envision the future of AI and chip design? Gorr: It’s very much dependent on that human element—involving people in the process and having that interpretable model. We can do many things with the mathematical minutiae of modeling, but it comes down to how people are using it, how everybody in the process is understanding and applying it. Communication and involvement of people of all skill levels in the process are going to be really important. We’re going to see less of those superprecise predictions and more transparency of information, sharing, and that digital twin—not only using AI but also using our human knowledge and all of the work that many people have done over the years.

IEEE Spectrum

중도 성향

정치

뉴스

타임라인 키워드

Risk of gasoline shortage in Russia due to refinery problems – intelligence

Chairman of United Bank for Africa: 'We need to fix our problems ourselves'

Ukrainian mid-range strikes deal double blow to Russia's war effort

Liberal senator breaks ranks to take aim at Angus Taylor’s ‘negative’ rhetoric on immigration

South Africa: Blaming Immigrants for Our Problems Is a Fool's Game

Merz and Trump weaponize each other’s problems

Accelerating Chipmaking Innovation for the Energy-Efficient AI Era

Sardinia’s Ancient Reasons for Rejecting a Clean Energy Future

IEEE Smart Village Is Helping to Electrify Rural Cameroon

Democracy by lottery

Missing the point

Doha diary: A historian amid the Iran war

André Béteille: A sociologist Bangladesh should read

UK engaged in search of external enemy amid domestic economic problems — diplomat

Russia’s declining inflation opens door to easing monetary policy, lowering key rate

Andrew Ng: Unbiggen AI

How AI Will Change Chip Design

Forum tackles urban problems for sustainable future

뉴스

타임라인 키워드

Risk of gasoline shortage in Russia due to refinery problems – intelligence

Chairman of United Bank for Africa: 'We need to fix our problems ourselves'

Ukrainian mid-range strikes deal double blow to Russia's war effort

Liberal senator breaks ranks to take aim at Angus Taylor’s ‘negative’ rhetoric on immigration

South Africa: Blaming Immigrants for Our Problems Is a Fool's Game

Merz and Trump weaponize each other’s problems

Accelerating Chipmaking Innovation for the Energy-Efficient AI Era

Sardinia’s Ancient Reasons for Rejecting a Clean Energy Future

IEEE Smart Village Is Helping to Electrify Rural Cameroon

Democracy by lottery

Missing the point

Doha diary: A historian amid the Iran war

André Béteille: A sociologist Bangladesh should read

UK engaged in search of external enemy amid domestic economic problems — diplomat

Russia’s declining inflation opens door to easing monetary policy, lowering key rate

Andrew Ng: Unbiggen AI

How AI Will Change Chip Design

Forum tackles urban problems for sustainable future