๐บ๐ธ ๋ฏธ๊ตญ ยท "EXPECTED" ยท ์ด 307๊ฑด
ํํฐ ๋ณด๊ธฐํ์ฌ ์ง์
50.0
0 = ๋ถ์ ์ฐ์ธ
50 = ์ค๋ฆฝ
100 = ๊ธ์ ์ฐ์ธ
์ต๊ทผ 7์ผ ๊ธฐ์ค 10,428๊ฑด์ ๋ถ์ํ ๊ฒฐ๊ณผ, ๋ด์ค ์ฌ๋ฆฌ์ง์๋ 50.0(๊ท ํ)์ ๋๋ค. ๊ธ์ 1๊ฑด(0.0%)ยท์ค๋ฆฝ 10,426๊ฑด(100.0%)ยท๋ถ์ 1๊ฑด(0.0%)์ด๋ฉฐ, ์ค๋ฆฝ ๋น์ค์ด ๋๋ ทํ๊ฒ ๋์ต๋๋ค. ์ฑํฅ ์ง์๋ ์ข ํฉ 19.1(์ค๋ ๊ท ํ)์ ๋๋ค.
California high school track and field state finals face expected protests over transgender athlete competing in girls' divisions for a second year.
Michigan Gov. Gretchen Whitmer (D) said Thursday that she will not run for president in 2028, taking herself out of what is expected to be a crowded Democratic primary field. โThere will be a robust group of people running for president. I will not be one of them in 2028, I can tell you that,โ...
From its high-dollar price tag to the celebrities expected to watch ringside and what taxpayers may end up paying for.
Apple's long-awaited Siri overhaul, expected to arrive in iOS 27, might look a lot like ChatGPT with a splash of Liquid Glass. Renders from Bloomberg offer a preview of iOS 27, including the new app and chat interface for Siri. The renders are "based on information viewed by Bloomberg and people with knowledge of [Apple's] [โฆ]
Democrat Gretchen Whitmer says she won't be part of an expected crowded Democratic field of presidential candidates in 2028
Democratic Gov. Gretchen Whitmer of Michigan put to rest speculation about a potential 2028 presidential bid, saying Thursday that she will not join what is expected to be a crowded primary field after leaving office at the end of this year.
The PCE price index for April was expected to show an annual inflation rate of 3.8% for all items and 3.3% for core.
Best Buy reported better-than-expected earnings on Thursday as the company works toward turning around its sales slump.
The S&P 500 is on track to end an eight-session winning streak as traders also await April PCE inflation data
I have been an application-specific IC (ASIC) designer for almost three decades. Over that time, Iโve moved through the full academic trajectory, from graduate student to full professor; later, I transitioned to industry after an unsuccessful stint at entrepreneurship. When I made the switch to the private sector in 2019, I began focusing on a critically important aspect of the electronic industry: silicon intellectual property. As much as 80 percent of the physical area in todayโs most advanced chips is occupied by blocks that arenโt made for specific products or even designed by the consumer-facing companies that built them. Instead, chipmakers draw heavily on established silicon IP from companies like Arm, Cadence, Rambus, Synopsys, and the company I work for, Silicon Creations. Throughout my career, Iโve designed chips for very different purposes, including enabling the research program in my academic lab and expanding the IP portfolio of my company. When I joined Silicon Creations, I had no idea how differently the industry approaches IC design and encountered a steep learning curve. Initially, it seemed that much of my two decades of academic research and training did not directly translate to the role. I had to learn new skills and adopt a new mindset. Today, demand for ASICs is rapidly growing, driven by the need for specialized chips in the automotive sector, AI applications, and more. By one market estimate, the ASIC market is expected to grow from US $23.4 billion to $38.8 billion by 2033, and the semiconductor industry as a whole is projected to hit $1 trillion by 2030. The industry needs more chip designersโbut if youโre coming from an academic background as I did, there are a few things youโll need to know. Different goals lead to different strategies The differences between industry and academe begin with a divergence in purpose. In academia, my primary objective was to generate new knowledge: to propose a novel circuit technique, validate an unconventional architecture, or explore the limits of performance in a given domain. A successful chip is one that demonstrates a concept. In industry, it is not nearly enough to prove that something can work. The goal is to ensure that it works reliably, repeatedly, and at scale. Success is measured not by novelty but by whether the silicon meets specifications, yields as expected in production, and supports a competitive product delivered on schedule. This leads to a stark contrast in risk tolerance. Academic designs often deliberately push into unproven territory, where even partial success can yield valuable insight. In industry, however, we systematically minimize risk. The cost of failure makes first-time silicon success a central requirementโespecially at advanced technology nodes, where the lithography masks used to transfer circuit designs onto silicon wafers alone can cost tens of millions of dollars. As a result, industry design flows are built around eliminating uncertainty through conservative margins, extensive validation, and careful reuse of proven solutions. โAcademia explores the design space, asking what is possible, while industry exploits it, determining what is viable at scale.โ This paradigm has existed since the 1970s, when application-specific chip design was established. However, the gulf between academia and industry has expanded since the mid-2010s, when FinFET technology, a 3D architecture using vertical โfinsโ of silicon, was widely adopted in industry. System designs are also becoming increasingly modular with the advent of chiplets. This fundamentally altered the economics and complexity of ASIC development, with design costs rising by almost an order of magnitude. Initiatives like Taiwan Semiconductor Manufacturing Co.โs University FinFET Program and new government-funded chip-design hubs now let some well-resourced universities design for more advanced architectures, but the technology is still out of reach for many academics. What the industry-academia split means in practice Consider a startup developing an ASIC. Its engineering team may have deep expertise in a particular algorithm, sensor interface, or system architecture, the features that define its competitive advantage. But it is unlikely to possess world-class expertise in every supporting function. Developing each of these blocks internally would require significant time, capital, and specialized talent. Doing so could delay market entry beyond the startupโs viability. Even large semiconductor companies face similar constraints. Advanced-node development demands intense focus. Allocating a team to redesign a standard interface block that has already been implemented elsewhere may be difficult to justify when differentiation lies at the system level, such as an inference chipโs ability to speed up neural network computations. The time it takes to move a new chip from conception to market and risk mitigation, not self-sufficiency, govern most decisions about in-house development versus outsourcing. The economics of advanced IC manufacturing reinforce this reality. When the development cost of a leading-edge chip reaches hundreds of millions of dollars, minimizing risk becomes a central design imperative. In this context, silicon IP emerged as a practical solution. Similar to how software developers rely on preexisting libraries rather than writing every function from scratch, ASIC designers license predesigned, preverified silicon blocksโsuch as processor cores, memory interfaces, and security enginesโfrom highly specialized IP vendors. These blocks can then be integrated into larger, increasingly complex systems. Design scope, verification, and time horizons With the use of silicon IP, industry is able to widen the scope of its designs. Academic efforts tend to focus on block-level innovation: a new analog-to-digital converter architecture or an ultralow-noise amplifier, for instance. These designs typically abstract away many of the complexities of bringing a chip to market, such as packaging constraints, long-term reliability, and manufacturing yield. In industry, the focus shifts to system-level integration. Modern systems on chips, or SoCs, incorporate dozens or even hundreds of functional blocks. Managing signal integrity, timing, firmware interaction, and system-level validation becomes as critical as the design of any individual block. Verification philosophy also diverges sharply. In academia, the goal of verification is to demonstrate that the concept works under nominal conditions, which may not always reflect how it would perform in real applications. Even if only a fraction of fabricated chips from a multiproject wafer operates correctly, the design may still be considered a success if it validates the underlying idea. At my academic lab for instance, we used to receive 40 chips from a TSMC prototyping service and started testing them in batches of five. If the first five or 10 chips proved functional, we had already collected more than enough data for a publication. If some of them failed, we werenโt required to mention this when publishing the results. In industry, verification is exhaustive, critical, and often dominates the development schedule. Failures are measured in parts per million, and even rare anomalies are carefully analyzed and documented to identify root causes and prevent recurrence. When I started at Silicon Creations, I was surprised by the level of detail and scrutiny designs face. Differences in time horizons and economic constraints reinforce each of these contrasts. Academic projects operate on flexible timelines aligned with research and funding cycles. If I missed a deadline, I just had to wait for the next cycle. Industry projects are driven by fixed product schedules and market windows, frequently targeting costly leading-edge nodes to achieve competitive performance, power, and area efficiency. Missing a deadline can negate the value of an entire design and may have major financial consequences along the entire supply chain. In essence, academia explores the design space, asking what is possible, while industry exploits it, determining what is viable at scale. Both are indispensable, but they operate under fundamentally different definitions of success. As ASIC complexity continues to grow, understanding both perspectives will be essential for the next generation of engineers navigating the evolving semiconductor landscape. This article appears in the June 2026 print issue.
While building a highway near Venice, construction crews in Italy accidentally discovered a pre-Roman sanctuary dating back to the fifth century B.C.
SEC coaches say they felt misled about voting for nine conference games, claiming they expected it to lead to a 16-team playoff expansion that never came.
Forecasters say expected El Niรฑo should temper hurricanes in Atlantic, urge preparedness.
A verdict is expected Thursday in the case of a man who admitted to plotting to attack a Taylor Swift concert in Vienna nearly two years ago. The post Verdict Due in Trial of Man Who Admits Plot to Attack a Taylor Swift Concert in Vienna appeared first on Breitbart.
Sea control has changed. In recent years, there has been a quiet revolution in maritime strategy that has seen navies increasingly expected to exert greater levels of control over more of the worldโs oceans, more of the time. Whether it is NATO forces protecting critical maritime infrastructure in the Baltic, Pacific Island nations requiring maritime domain awareness to protect against illegal fishing, or Chinese coast guard and maritime militia vessels occupying features in the South China Sea, navies across the globe are confronting major challenges and are being forced to operate in new and novel ways. Behind all of this The post A Sea Control Revolution? appeared first on War on the Rocks.
Global energy investment is set to jump to $3.4 trillion this year, the International Energy Agency said today, noting that the rise will be driven by countriesโ efforts to address the second energy crisis in less than five years. Of the global total, $2.2 trillion is expected to be spent on electricity, including grids, storage, nuclear, wind, solar, and efficiency, the agency said, with the balance of $1.2 trillion to be poured into oil and gas, as well as coal. Interestingly, the IEA sees crude oil investment specifically decliningโฆ
European stocks are expected to open in negative territory on Thursday as investors assess the prospects of a peace deal to end the Iran war.
Baseball players fired the opening salvo Wednesday in New York in what is expected to be long and contentious labor negotiations.
Treasury Secretary Scott Bessent will host Thursdayโs White House press briefing, becoming the third Cabinet official to step behind the podium while press secretary Karoline Leavitt remains on maternity leave following the birth of her second child earlier this month. Bessent is expected to take questions from reporters in the James S. Brady Press Briefing Room [โฆ]
While oil prices have recently fallen on news that a peace deal between the U.S. and Iran could come, prices are still significantly higher than before the war.