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IT/기술
Bitcoin falls below $60,000, first time since October 10, 2024
By 7:34 p.m. Moscow time, bitcoin stood at $60,752, while Ethereum dropped by 10.45% to $1,584.22
IT/기술 · "COW" · 총 18건
필터 보기현재 지수
50.3
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 75,744건을 분석한 결과, 뉴스 심리지수는 50.2(균형)입니다. 긍정 3,874건(5.1%)·중립 69,977건(92.4%)·부정 1,893건(2.5%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 15.3(중도 균형)입니다.
By 7:34 p.m. Moscow time, bitcoin stood at $60,752, while Ethereum dropped by 10.45% to $1,584.22
It's almost impossible to avoid seeing AI-generated content online, but it doesn't have to be this way. YouTube, Instagram, TikTok, and more have ramped up content authentication efforts over the last year, with many now automatically applying labels to distinguish AI-generated images, videos, and music from those made by real, human creators. That's all very […]
Hurricane season is expected to be milder than usual this year. But that's not stopping cell phone companies from pulling out all the stops.
Microsoft’s OpenClaw-style agent appears in Teams, just like a human colleague, and automates your dull office tasks.
The air purifier giant’s P50 pedestal fan is whisper-quiet and surprisingly versatile, even if its built-in voice assistant feels stuck in beta.
The shares of Indian IT companies including Infosys, TCS and others continued to record sharp gains on Tuesday, pushing the Nifty IT over 3% higher even as the broader Nifty index slipped into the deep red.The Nifty IT index extended gains for the third consecutive session, jumping around 7% during the period to hit a high of 30,785 on Tuesday. Nifty crashed 3% during the same time to trade below 23,250.Infosys shares gained more than 4% to trade at Rs 1,257.90 apiece in the morning trading hours of Tuesday. The heavyweight IT stock has now gained nearly 9% in just three sessions. The shares of Tata Consultancy Services (TCS) meanwhile jumped around 3.5%.Mphasis and LTI Mindtree shares jumped nearly 3% each, while HCL Technologies, Coforge, Tech Mahindra and Persistent Systems shares jumped around 2% each. Wipro shares were trading in the green with marginal gains.What’s driving the rally in IT stocks?The sharp surge in IT stocks comes after a significant decline earlier this year, following the launch of plug-ins for AI startup Anthropic's Claude Cowork agent, which could automate tasks across legal, sales, marketing, and data analysis. "We call it the ‘SaaSpocalypse,’ an apocalypse for software-as-a-service stocks," Bloomberg quoted Jeffrey Favuzza from the equity trading desk at Jefferies.While analysts continue to debate the future of IT companies following fresh AI advancements, investors were quick to analyse the cheap valuations, leading to some pockets of buying. Nuvama, in its note, had highlighted that the IT sector is setting up for a powerful comeback, not a collapse after the brutal AI-driven selloff.“We see no existential threat from Gen-AI,” the brokerage writes, arguing that enterprises will still need a “system integrator” to customise plug-and-play AI and software tools for their highly complex, brownfield technology stacks and to take ownership when “the system fails at 2 am.”The latest round of buying also comes ahead of the Federal Reserve’s policy meeting next month, which would be the first under Chair Kevin Warsh. US President Donald Trump had selected Warsh partly on expectations that he would support lower borrowing costs to stimulate economic growth. However, rising inflation raised questions over the possibility of lowering rates."Indian IT firms are following suit of American companies like Anthropic and OpenAI by taking up contracts and tie-ups which are perceived as promising by investors," said Gaurav Sharma, head of Research, Globe Capital.Arbind Maheswari from BofA Securities told ET Now that the market globally is attracting flow towards only one story, at the front and centre of it is tech and AI. It is hard to pull away from that fact with a near-term vision. “There are people who believe that the whole business model of Indian IT services is put to question by the AI trade. The other side is that IT services companies will evolve and adapt and they have enough cash flow, they have the resilience, and they have shown this in the past where there were threats that seemed existential for the IT services space. This time obviously it is much bigger and it could last longer but I am sure there is enough that these companies have in them both in terms of depth of management and business models that they can evolve to adapt to the new AI world,” he added.Wipro to acquire additional stake in Aggne Global for $28.5 millionWipro announced that it will acquire an additional 20% stake in US-based insurtech company Aggne Global Inc through an all-cash transaction worth $28.5 million. The company said the transaction is expected to be completed by June 5.Earlier this year, the company acquired Mindsprint for $375 million as part of a broader $1 billion transaction with its parent, Olam Group. It also purchased select customer contracts from US-based Alpha Net Consulting LLC and its subsidiaries for $71 million.(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)
'GTC 타이베이 2026' 미디어 간담회 개최…삼성 성과급 관련 견해도 밝혀 젠슨 황 엔비디아 최고경영자(CEO)는 글로벌 공급망의 전폭적인 지원에도 불구하고 AI(인공지능) 칩 공급 부족 현상이 지속되고 있다며 당분간 AI 칩 확보를 둘러싼 경쟁이 이어질 것으로 전망했다. 특히 AI 수요 급증으로 인해 메모리 반도체(이하 메모리)의 중요성도 한층 커질 것이라고 확신했다. 황 CEO는 2일(현지시간) 오전 대만 타이베이 그랜드 하이라이 호텔에서 열린 'GTC 타이베이 2026 미디어 간담회'에서 블랙웰과 루빈 등의 AI 칩 수급 전망을 묻는 질문에 "HBM(고대역폭메모리), CoWoS(Chip-on-Wafer-on-Substrate·첨단 패키징), 웨이퍼 등 전 분야에 걸쳐 전 세계 공급망이 엔비디아 지원에 총동원된 상태지만 여전히 공급이 부족하다"고 밝혔다. AI 수요가 폭발적으로 증가하면서 공급이 이를 따라가지 못하고 있다는 설명이다....
Shares of Indian IT companies, including heavyweights Infosys, Tech Mahindra, TCS and Persistent Systems jumped up to 5% on Monday as multiple tailwinds boosted investor sentiment, pushing the Nifty IT index up around 3% to emerge as the top sectoral gainer.The index rose to 29,905 in the morning trading hours of Monday, extending sharp gains for the second consecutive session. The index has now jumped nearly 4% over two days.The sharp surge in IT stocks comes after a significant decline earlier this year, following the launch of plug-ins for AI startup Anthropic's Claude Cowork agent, which could automate tasks across legal, sales, marketing, and data analysis. "We call it the ‘SaaSpocalypse,’ an apocalypse for software-as-a-service stocks," Bloomberg quoted Jeffrey Favuzza from the equity trading desk at Jefferies as saying.While doomsday prophets continue to debate the future of IT companies following fresh AI advancements, investors were quick to analyse the cheap valuations, leading to some pockets of buying. Nuvama, in its note, had highlighted that the IT sector is setting up for a powerful comeback, not a collapse after the brutal AI-driven selloff.“We see no existential threat from Gen-AI,” the brokerage writes, arguing that enterprises will still need a “system integrator” to customise plug-and-play AI and software tools for their highly complex, brownfield technology stacks and to take ownership when “the system fails at 2 am.”Also read: Reports of my death are greatly exaggerated! Why Nuvama is screaming buy on all top 10 IT stocksThe latest round of buying also comes ahead of the Federal Reserve’s policy meeting next month, which would be the first under Chair Kevin Warsh. US President Donald Trump had selected Warsh partly on expectations that he would support lower borrowing costs to stimulate economic growth. However, rising inflation raised questions over the possibility of lowering rates.Technical view on Nifty ITThe Nifty IT index has witnessed a strong rebound after taking support near its crucial support zone, indicating the possibility of a short-term recovery in the sector, Kunal Kamble, Senior Technical Research Analyst at Bonanza had said. “On the hourly time frame, the index is currently forming an inverse Head and Shoulders pattern. A decisive breakout is seen above the neckline of this pattern and has triggered further upside momentum in the index. Such a move is likely to positively impact heavyweight IT stocks that share a high correlation with the index, including Infosys, Tata Consultancy Services, and HCL Technologies,” he added.Technically, the analyst had suggested that if the index manages to sustain above the 29,650 mark, it may open the door for a further recovery towards the 31,280 zone in the near term. However, he added that the current price action appears to be a retracement within the broader trend rather than a complete trend reversal. Therefore, traders should approach the sector with a cautious outlook.“Aggressive or high-risk traders may consider short-term trading opportunities in select IT counters, provided the index maintains strength above key support levels. On the downside, a breach below 28,800 could once again invite selling pressure across the Nifty IT index and associated IT stocks, potentially weakening the ongoing recovery structure,” he said.IT stocksPersistent Systems shares were the top gainers on the Nifty IT index, jumping nearly 5%. Infosys shares followed, surging nearly 4%. Mphasis, Tech Mahindra, LTI Mindtree and Coforge shares gained over 3% each.Also read: Wockhardt shares rocket 19% after FDA approval for antibiotic targeting drug-resistant infectionsTata Consultancy Services (TCS) and OFSS shares jumped around 2% each, while HCL Technologies and Wipro shares gained around 1% each.(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)
Prosecutors say the false NAIT records left animals effectively untraceable.
MOSCOW (Sputnik) - The European Commission wants to strengthen its control over the EU semiconductor supply chain and gain the power to force chipmakers to terminate existing contracts, the Financial Times newspaper reported, citing a draft law.
As of 7:53 a.m. Moscow time, Bitcoin was down 3.21% at $73,138, while Ethereum fell 4.4% to $1,980
The email instructs workers to report behavior that predates Donald Trump’s second inauguration. One employee tells WIRED it felt like a “reminder to narc on your coworkers.”
Go into the office, embrace 'messy jobs,' and other dos and don'ts for the future workplace in the age of AI, advises Tyler Cowen.
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For years, the field of robotics has used the terms “dull, dirty, and dangerous” (DDD) to describe the types of tasks or jobs where robots might be useful—by doing work that’s undesirable for people. A classic example of a DDD job is one of “repetitive physical labor on a steaming hot factory floor involving heavy machinery that threatens life and limb.” But determining which human activities fit into these categories is not as straightforward as it seems. What exactly is a “dull” task, and who makes that assumption? Is “dirty” work just about needing to wash your hands afterwards, or is there also an aspect of social stigma? What data can we rely on to classify jobs as “dangerous?” Our recent work (which was not dull at all) tackles these questions and proposes a framework to help roboticists understand the job context for our technology. First, we did an empirical analysis of robotics publications between 1980 and 2024 that mention DDD and found that only 2.7 percent define DDD and only 8.7 percent provide examples of tasks or jobs. The definitions vary, and many of the examples aren’t particularly specific (for example, “industrial manufacturing,” “home care”). Next, we reviewed the social science literature in anthropology, economics, political science, psychology, and sociology to develop better definitions for “dull,” “dirty,” and “dangerous” work. Again, while it might seem intuitive which tasks to put into these buckets, it turns out that there are some underlying social, economic, and cultural factors that matter. Dangerous Work: Occupations or tasks that result in injury or risk of harm It’s possible to measure the danger of a task or job by using reported information. There are administrative records and surveys that provide numbers on occupational injury rates and hazardous risk factors. While that seems straightforward, it’s important to understand how this data was collected, reported, and verified. First, occupational injuries tend to be underreported, with some studies estimating up to 70 percent of cases missing in administrative databases. Second, injuries and risk factors are rarely disaggregated by characteristics like gender, migration status, formal/informal employment, and work activities. For example, because most personal protective equipment—such as masks, vests, and gloves—are sized for men, women in dangerous work environments face increased safety risks. These caveats are an opportunity for robotics to be helpful. If we went out and looked for it, we could probably find some less obviously dangerous work where robotics might be an important intervention, not to mention some groups that are disproportionately affected and would benefit from more workplace safety. Dirty Work: Occupations or tasks that are physically, socially, or morally tainted Colloquially, most people might think of dirty work as involving physical dirtiness, such as trash removal, cleaning, or dealing with hazardous substances. But social science literature makes clear that dirty work is also about stigma. Socially tainted jobs are often servile or involve interacting with stigmatized groups (for example, correctional officers), and morally tainted jobs include tasks that people commonly perceive as sinful, deceptive, or otherwise defying norms of civility (like a stripper or a collection agent). “Dirty work” is a social construct that can vary across time (like tattoo industry stigma in the United States) and culture (such as nursing in the U.S. versus in Bangladesh). One way to measure whether work is “dirty” is by using the closely related concept of occupational prestige, captured through quantitative surveys where people rank jobs. Another way to measure it is through qualitative data, like ethnographies and interviews. Similar to “dangerous,” we see some hidden opportunities for robotics in “dirty” work. But one of our more interesting takeaways from the data is that a lower-ranked job can be something that the workers themselves enjoy or find immense pride and meaning in. If we care about what tasks are truly undesirable, understanding this worker perspective is important. Dull Work: Occupations or tasks that are repetitive and lacking in autonomy When it comes to defining dull work, what matters most is workers’ own experiences. Outsiders can make a lot of false assumptions about what tasks have value and meaning. Sometimes things that seem boring or routine create the right conditions for developing skills and competence, such as the concentration needed for woodworking, or for socializing and support, when tasks are done alongside others. Instead of assuming that repetitive work is negative, it’s important to examine qualitative data on how people experience the work and what purpose it serves for them. DDD: An actionable framework In our paper, we propose a framework to help the robotics community explore how automation impacts individual jobs. For each term—dull, dirty, and dangerous—the framework gathers key pieces of information to reflect on what physical or social aspects of the task are, in fact, DDD. Worker perspective is an important part of all three considerations. The framework also emphasizes awareness of context—meaning the physical and social environment of an occupation and industry that can influence the DDD nature of a task. Our corresponding worksheet suggests existing data sources to draw on and encourages us to seek out multiple perspectives and consider potential sources of bias in the information. What makes tasks dull, dirty, or dangerous depends on the perspective of the humans doing those tasks.RAI Let’s take, for example, the waste and recycling industry. The world generates over 2 billion tonnes of waste annually, and this figure is expected to rise to nearly 4 billion tonnes by 2050. Intuitively, trash collection seems like a job that hits all the Ds. Going through our worksheet, we confirm that globally, workers in this industry face significant health hazards (dangerous), and waste collection is ranked as a low-status job (dirty), although interestingly, many workers take pride in providing this essential service. The job is also repetitive, but there are aspects that make it not dull. Specifically, workers cite the day-to-day interaction with their coworkers (which includes extensive insider vocabulary, work hacks, and mutual aid groups) and task variety as two of the most enjoyable aspects of the job. Task variety includes inspecting their vehicle and equipment, driving their truck, coordinating with crew members, lifting bins and bags, detecting incorrect sorting of waste, and unloading at the end destination. This finding matters because some types of robotic solutions will eliminate the parts of the job that workers most appreciate. For instance, the National Institute for Occupational Safety and Health (NIOSH) recommends the adoption of automated side loader trucks and collision avoidance systems. This innovation increases safety, which is great, but it also results in a sole worker operating a joystick in a cab, surrounded by sensor and camera surveillance. Instead, we should challenge ourselves to think of solutions that make jobs safer without making them terrible in a different way. To do this, we need to understand all aspects of what makes a job dull, dirty, or dangerous (or not). Our framework aims to facilitate this understanding. Finally, it’s important to note that DDD is only one of many possible approaches to classify what work might be better served by robots. There are lots of ways we could think about which types of tasks or jobs to automate (for example, economic impact or environmental sustainability). Given the popularity of DDD in robotics, we chose this common phrase as a starting point. We would love to see more work in this space, whether it’s data collection on DDD itself or the creation of other frameworks. At RAI, we believe that the fusion of robotics and social sciences opens a whole new world of information, perspectives, opportunities, and value. It fosters a culture of curiosity and mutual learning, and allows us to create actionable tools for anyone in robotics who cares about societal impact. Dull, Dirty, Dangerous: Understanding the Past, Present, and Future of a Key Motivation for Robotics, by Nozomi Nakajima, Pedro Reynolds-Cuéllar, Caitrin Lynch, and Kate Darling from the RAI Institute, was presented at the 21st ACM/IEEE International Conference on Human-Robot Interaction (HRI) in Edinburgh, Scotland.
Such content is often riddled with visual flaws and inconsistencies that could negatively affect young viewers
On April 21, Moscow State University (MSU) held a presentation for its new artificial intelligence (AI) school. The new program is part of an infrastructure that Russian state news agencies describe as the “unified AI ecosystem of MSU.” It also includes an AI research center at the university, a supercomputer called “MSU-270,” and the MSU Institute of Artificial Intelligence. That last organization is officially headed by Vladimir Putin’s daughter Katerina Tikhonova, who sources familiar with the structure of MSU’s AI infrastructure also consider the curator of the entire “ecosystem,” according to the independent science-focused outlet T-invariant. Meduza summarizes T-invariant’s investigation.