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중도 성향
IT/기술
DeepSeek V4 Pro beats GPT-5.5 Pro on precision
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IT/기술 · "CISION" · 총 60건
필터 보기현재 지수
50.3
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 77,525건을 분석한 결과, 뉴스 심리지수는 50.2(균형)입니다. 긍정 3,971건(5.1%)·중립 71,620건(92.4%)·부정 1,934건(2.5%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 15.2(중도 균형)입니다.
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A major political development has unfolded in Tamil Nadu as K. Annamalai has stepped away from the BJP to launch a new political movement focused on youth participation, governance reforms, and grassroots engagement. The move has sparked intense debate across political circles, with supporters viewing it as the beginning of a new chapter in Tamil Nadu politics, while critics question whether distancing himself from the BJP could limit his political influence.Annamalai's decision is expected to reshape political equations in the state, particularly among young voters seeking alternative leadership and fresh political ideas. Political analysts are closely watching how the new movement evolves and whether it can emerge as a significant force in Tamil Nadu's highly competitive political landscape. n18oc_breaking-newsn18oc_Indian18oc_politicsNews18 Mobile App - https://onelink.to/desc-youtube
Read this article to understand why and how Martin Scorsese is embracing AI in filmmaking, and why his decision has received stron
The iPhone giant confirmed the closure in North County Mall in Escondido, on June 20th as part of a broader decision to pull out of three mall locations nationwide, including sites in Connecticut and Maryland.
Jess Asato’s lawyer says others want to take action over demeaning sexualised material created by Grok AI tool New claimants have come forward to take legal action against Elon Musk’s company xAI after the Labour MP Jess Asato launched a test case against the firm over demeaning sexualised material created by its Grok AI tool. A handful of complainants contacted Asato’s lawyer on Thursday in response to coverage of the MP’s decision to sue Musk’s company for damages over its creation and circulation of fake images of her in a bikini and an AI-created video that she said showed her “being chloroformed and prepared for a sexual assault”. Continue reading...
Supreme Court proposes regulations on AI in courts, banning AI for decision-making, requiring disclosure of AI assistance by lawyers.
SC issues draft AI rules for courts, allowing AI for research and administration but banning it from decisions, mandates disclosure, audits, data safeguards and human primacy.
Bengaluru's Suraj Biswas, a former food delivery partner, defied expectations by teaching himself to code and build an AI startup. His venture, Assessli, focuses on personalized tools for decision-making and productivity. This journey highlights how earning opportunities combined with self-directed learning can empower individuals to forge their own futures, proving that persistence can indeed build the future.
New graduates’ careers are unfolding in an era when AI is not optional. The most successful engineers treat artificial intelligence as leverage, not competition. Here are seven tips to help keep young professionals in demand no matter how quickly the field’s tools evolve. 1. Master the fundamentals first. AI tools can help you code, but you still need strong fundamentals in: Data structures and algorithms for problem-solving. Operating systems, databases, and networking for system-level understanding. Core programming languages such as C++, Java, and Python. AI can autocomplete syntax, but if you don’t understand how things work under the hood, you’re likely to struggle to debug or optimize. 2. Learn how to work with AI, not against it. The best engineers will not try to out-code AI. Instead, they will learn to: Write clear prompts to generate better code snippets. Review and debug AI-generated code for accuracy, performance, and security. Use AI for productivity boosts while still exercising judgment. Think of AI as a teammate. The real skill is knowing when to trust it and when not to. 3. Build projects that showcase end-to-end thinking. Employers increasingly look for engineers who can design and build systems, not just solve problems. Create projects that show you can: Define requirements clearly. Use AI tools responsibly within the workflow. Deliver a product that scales and is maintainable. 4. Sharpen your system design skills early. Even junior engineers are now asked questions about basic system design with AI. Expect to explain to prospective employers: How you would responsibly integrate AI into a system. How to design fallbacks when AI fails. How to ensure scalability and reliability. 5. Develop strong communication skills. Today’s engineers don’t just code in isolation. You will be expected to: Explain design choices to teammates and stakeholders. Document decisions clearly. Collaborate effectively in cross-functional teams. This is one area where AI cannot replace you. Clear communication is a career accelerant. 6. Stay curious and keep learning. The tech industry moves fast, and AI is accelerating that pace. Cultivate habits such as: Following industry news, blogs, and open-source projects. Experimenting with new AI tools, frameworks, and libraries. Engaging in communities such as GitHub, IEEE Collabratec, LinkedIn, and Medium. Employers value engineers who keep themselves sharp and relevant. 7. Think beyond coding. AI will increasingly handle routine coding tasks. The differentiators for you will be: Problem-framing: Can you take a vague idea and turn it into a solution? Architectural judgment: Can you design systems that scale and last? Ethical awareness: Can you spot risks in AI use and address them responsibly? For more career advice, subscribe to the IEEE Spectrum Career Alert Newsletter. The biweekly newsletter features the latest information on jobs, education, management, and the engineering workplace.
Companies like JPMorgan, Meta, Amazon, and KPMG are tracking how employees use AI, and using the data to inform decisions about performance.
People often make irrational decisions, and while artificial intelligence can help predict and overcome these mistakes, it should not be trusted blindly because it has vulnerabilities of its own, Anton Suvorov, rector of the Russian Economic School and a specialist in behavioral economics, told Sputnik at SPIEF.
According to Igor Alutin, the emergence of AI agents capable of independently making trading decisions is an inevitable new stage of technological development
This sponsored article is brought to you by Black & Veatch. The biggest challenge facing utilities today isn’t what it seems. It’s not demand, even as load growth accelerates. It’s not extreme weather, even as “major events” become routine. It’s not cybersecurity, even as connections expand across the grid. The real challenge is this: Distribution systems were designed for a different reality. Long gone are the days of predictable demand, one-way power flow and isolated disruptions. At Black & Veatch, we see that leading utilities are no longer debating whether to modernize. They’re deciding how quickly they can do it, and how to do it at scale. Across grid modernization programs globally, three truths consistently emerge. They define what it takes to prepare the distribution system for what’s next: 1. Outage response is not a resilience strategy Resilience is being redefined in real time. A strategy centered on mobilizing crews and restoring service as quickly as possible is reactive, and increasingly insufficient. Resilience has to shift upstream into integrated system design. That starts with hardening. Stronger poles, undergrounding and structural upgrades all have a role, particularly in high-risk corridors. We’re also seeing meaningful gains from how the network is configured and how quickly it can respond without waiting on manual intervention. This is where distribution automation programs can change outcomes. Strategically placed reclosers, automated switches and fault indicators help contain disruptions before they spread. When combined with feeder reconfiguration and updated protection strategies, distribution automation investments allow utilities to set more aggressive recovery targets and achieve measurable reductions in outage duration and customer impact. 2. Future-readiness depends on DERs at scale Forecasting is less and less reliable. Only 19 percent of utilities report strong confidence in their ability to predict future load growth, according to the Black & Veatch 2025 Electric Report. Distributed Energy Resources (DERs) like solar, storage, EVs and behind-the-meter generation are exciting solutions; but they fundamentally change how the system operates. Power is no longer just delivered. It’s injected, stored and redirected in ways the system was never designed to manage. At scale, these challenges show up quickly — particularly on feeders where distributed generation is approaching or exceeding hosting capacity. Protection coordination becomes more difficult when fault current comes from multiple directions. Voltage becomes less predictable as generation fluctuates throughout the day. And planning models must now account for highly variable, location-specific behavior. Distribution modernization is fundamentally changing how the system is designed and operated so it can absorb disruption, manage bi-directional flows and respond in real time. Adapting to bi-directional power flow requires more than incremental updates. Leading utilities are responding by building flexibility into the system, moving beyond static assumptions toward dynamic hosting capacity and interconnection studies, planning that incorporates DER, EV adoption and localized load growth, and infrastructure aligned with the communications and control needed to manage it. 3. The edge must be intelligent, visible and secure As system stress and complexity increase, utilities need far greater visibility and control over the network. Historically, utilities relied on customer calls, Supervisory Control and Data Acquisition (SCADA) at the substation level and field crews to understand what was happening on the system. That model doesn’t hold up. You can’t effectively manage a system you can’t see. Plus, the most critical events are increasingly happening beyond the substation — on feeders, laterals, and at the edge where DER and customer behavior are interacting with the grid. Grid-edge technologies have become essential. Sensors, Advanced Metering Infrastructure (AMI) and automated switching provide the raw data and control needed to move from reactive to proactive operations. In more advanced deployments, utilities are creating centralized control environments that allow operators to see and manage the distribution system in near real time. That capability is enabled by: Advanced communications networks to form the backbone of real-time grid visibility Distribution Management System (DMS) and Outage Management System (OMS) to enable faster, more coordinated system response Analytics, AI and machine learning to improve situational awareness, anticipate system conditions, and support operational decision-making The same connectivity enabling this real-time visibility and control also introduces new vulnerabilities, blurring the line between physical and cyber risk, yet many utilities manage them separately. Only 22 percent have unified teams in place, even as threats continue to rise, including a 50 percent increase in substation attacks and growing exposure to malware and ransomware, according to the Black & Veatch 2025 Electric Report. Cybersecurity and resilient network design must be embedded into the architecture from the outset—not layered on after the fact. See what bolder vision looks like Distribution modernization is fundamentally changing how the system is designed and operated so it can absorb disruption, manage bi-directional flows and respond in real time. To learn about a successful program, check out Georgia Power’s recent grid modernization program. Black & Veatch partnered with the utility on large-scale infrastructure upgrades. The results? Outages are down 76 percent, restoration times have improved by more than 80 percent and communities across Georgia are powered by a grid built to meet the future head-on. When the state faced the most destructive storm in the company’s history, Hurricane Helene, Georgia Power deployed a rapid response team that utilized its “smart grid” and restored power to more than 1 million customers within days. A grid built to meet the future head-on—that’s the result of bolder vision.
Legendary director Martin Scorsese is getting mixed reviews online for his decision to team up with and promote Black Forest Labs, an AI company focused on building visual intelligence. The company just released a promotional video featuring the 83-year-old Hollywood mainstay discussing how AI can be used in the movie-making process. The video shows Scorsese ...
A post about a woman seeking repeated reassurance from an artificial intelligence chatbot over health concerns has sparked debate in South Korea over how deeply generative AI is infiltrating people’s emotional lives and decision-making. The post, shared on the workplace community platform Remember, said the writer’s girlfriend, who has health anxiety, spends up to three hours talking to Gemini and often worries that minor physical discomfort could be a sign of serious illness. “She asks Gemini t
Employees are scaling productivity at record speed while leadership teams remain stuck in decades-old decision-making structures.
Governor welcomes proposed Disease Modelling and Decision Intelligence Centre as Dr. NTRUHS honours meritorious students and eminent cardiologists
It’s easy to understand why so many graduates are booing commencement speakers who tell them how great AI is. They face a brutal job market, with unemployment for recent college graduates nearing recession levels, and AI is often cited as the reason they can’t find jobs or have to drastically reassess their career plans.I have a message for the class of 2026: AI is not ruining your job prospects, at least not yet. A better explanation for the tough job market may be the prevalence of WFH, not the rise of AI.131463654Two new studies, one from the Federal Reserve Bank of New York and one from the London School of Economics, look at the recent rise in unemployment among young workers. The authors of the LSE study looked at 243 million new hires and 407 million online job postings from 2017 to 2025 in the US, UK, Australia and Canada. They observed a notable decline since 2022 in the hiring of new graduates. AI was presumed to be the reason, since the falloff tends to be in the sort of industries that are adopting AI.But these are also the same kinds of jobs — reliant on computers, knowledge-intensive, white-collar — that are most amenable to working from home. When they controlled for WFH, the authors found that the impact of AI on hiring was negligible.The study postulates that where WFH is more common, managing junior staff is more expensive. At the same time, young staffers who receive less training may be less productive than they would be otherwise, even as they mature and demand more pay. So the cost of WFH to young graduates is not just a harder job market — it also makes it harder for young employees to get good training, supervision and mentorship, a point also made by the New York Fed study.WFH has always had a superficial appeal. At first, it seems easier and often cheaper for both employers and employees; companies can pay less if they offer more flexibility, and many staffers have commitments that keep them at home. In the long term, however, both management and workers pay a price in terms of lost training and career development of younger employees.This could get even worse as AI is more widely adopted. New hires recently out of college who work on their own may figure out how to do specific tasks (perhaps with AI assistance), but they won’t learn much about how to manage office politics, charm clients or build networks. All these skills will be even more valuable in an AI job market, and none can be gained without coming into the office and observing senior colleagues.The new research doesn’t argue that AI will have no impact on hiring in the future, or that it is currently affecting hiring decisions. It’s also worth noting that many firms are still hiring — just not as much as before. There are a lot of factors that go into the health of the labor market, and if the economy worsens, the combination of AI and WFH could make it even harder for young graduates.What does seem clear is that AI is becoming a convenient villain for a lot of complaints people have about the economy. Tech executives aren’t helping by regularly declaring that AI can replace a lot of jobs. More likely, they are using AI as an excuse when they are letting people go for financial reasons. In the case of WFH, it may be easier to blame AI than to ask reluctant staff to come into the office.I’ve seen this reluctance firsthand: A few years ago I met middle-aged media executive who told me how much she loved working from home (or, often in her case, from a resort in Mexico). When I asked her about junior staffers missing out on mentoring and on-the-job training, she admitted she never would have succeeded if senior people weren’t in the office when she was coming up. But she didn’t seem too bothered by it, either.I’ve never been asked to give a commencement speech, but if for some reason I were, this would be my advice: Find a company where everyone likes going to work. Then try to get a job there — and if you do, go into the office every day.
Children born after 2013 are the first generation to grow up fully immersed in digital systems, which weren’t designed with them in mind. One‑third of the world’s Internet users are younger than 18, according to UNICEF, yet these systems shaping their daily lives were built for adults. They were optimized for engagement and designed long before people understood how profoundly digital environments influence children. For engineers and technical professionals, online safety is not an abstract policy debate. It is a design challenge that demands rigor, systems thinking, and ethical foresight. Governments around the world are also beginning to recognize the problem. Policymakers from across Australia, Brazil, the European Union, Indonesia, and the United States are responding to risks engineers have long understood: Addictive features, inappropriate content, opaque data practices, and algorithmic systems shape user behavior in ways that their creators did not fully predict. For years, technology moved faster than governance. Now governance is trying to catch up. Global Shift Toward Design Reform Supporting National Digital Ambitions In Athens this year I met with senior leaders of Greek government agencies and key national research institutions. Greece is moving quickly on digital transformation and responsible technology governance, and our discussions reinforced IEEE’s role as a trusted, neutral collaborator. We focused on supporting Greece’s ambitions in digital modernization and public‑sector innovation. We also discussed responsible AI and age-appropriate digital design in Europe and elsewhere. These engagements, grounded in shared values and long‑term commitment, strengthened IEEE’s presence within the European ecosystem and opened new pathways for collaboration on trustworthy AI and child‑focused digital well‑being. The European Union and the United Kingdom have been among the first to act, embedding age‑appropriate digital design into their broader children’s rights agenda. Drawing on IEEE expertise and global best practices, Indonesia is the first country in Asia, and Brazil is the first country in Latin America, to adopt age-appropriate design regulation. Australia is aiming to limit access to harmful content and addictive design features through age restrictions on certain platforms. And in the United States, in addition to federal efforts, states including California, New York, and Utah are enacting approaches including age-appropriate design principles. Across these efforts, a shared realization is emerging. Protecting children online is not simply about filtering content or adding parental controls. It requires rethinking the architecture of digital systems regarding how data is collected, how algorithms make decisions, how interfaces influence attention, and how AI interacts with the developing minds of young users. Engineers and technical professionals understand that design choices are never neutral. They encode values, incentives, and assumptions. When the user is a child, those choices carry greater weight. This is where IEEE’s work becomes more essential. Protecting Children Online For more than a decade, IEEE has been building technical and ethical foundations for safer digital experiences. The first IEEE standard on age-appropriate design in 2021 marked a turning point. It offers a structured, principled approach to designing with children’s rights in mind. The Institute’s 2022 article “Use a New IEEE Standard to Design a Safer Digital World for Kids” highlights how the standard helps translate those principles into engineering practice. Today the IEEE Standards Association’s (SA) Trustworthy Digital Experiences portfolio provides a practical, technically grounded framework for governments and industry. Spanning ethical design, data governance, algorithmic transparency, and child‑focused digital well‑being, it has already initiated discussions with government stakeholders around the world. This work helps bridge the gap between engineering realities and policy ambitions. No single country can solve these challenges alone. Many policymakers lack access to the combined expertise in technology, governance, and children’s rights needed to act quickly and effectively. This collaborative effort helps close that gap. The stakes are high. Without coordinated action, public policy will continue to lag behind technology, leaving children exposed to risks that could have been mitigated through thoughtful design. But with the right frameworks, governments can ensure digital systems respect children’s rights, support healthy development, and promote well‑being. IEEE’s emerging standards and collaborative technology policy work offer a path forward. By grounding national efforts in evidence‑based, rights-aligned design principles, IEEE is helping governments move from reactive regulation to proactive, coherent, and globally informed strategies for protecting children online. Safeguarding childhood in the digital age is both a moral imperative and an engineering challenge. And IEEE is helping to lead the way. —Mary Ellen Randall IEEE president and CEO Please share your thoughts with me: president@ieee.org. This article appears in the June 2026 print issue.