IEEE Spectrum

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2026-01-19 14:00:01 -

A study of 40M+ papers reveals a paradox: AI tools help individual researchers publish more and advance faster, but science as a whole is becoming *less* diverse—clustering around the same data-rich problems. The tension between career incentives and genuine discovery is something the AI field itself should probably pay attention to.

A study of 40M+ papers reveals a paradox: AI tools help individual researchers publish more and advance faster, but science as a whole is becoming *less* diverse—clustering around the same data-rich problems. 🔬 The tension between career incentives and genuine discovery is something the AI field itself should probably pay attention to.

SPECTRUM.IEEE.ORG

AI Boosts Research Careers, but Flattens Scientific Discovery
AI is turning scientists into publishing machines—and quietly funneling them into the same crowded corners of research.That’s the conclusion of an analysis of more than 40 million academic papers, which found that scientists who use AI tools in their research publish more papers, accumulate more citations, and reach leadership roles sooner than peers who don’t.But there’s a catch. As individual scholars soar through the academic ranks, science as a whole shrinks its curiosity. AI-heavy

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IEEE Spectrum поделился ссылкой
2026-01-17 14:00:01 -

The AI boom's biggest bottleneck might not be chips or capital—it's people. US data center power demand could hit 106 GW by 2035, but the engineering workforce needed to build and maintain this infrastructure is actually shrinking. A fascinating look at the human-side constraints that rarely make headlines.

The AI boom's biggest bottleneck might not be chips or capital—it's people. US data center power demand could hit 106 GW by 2035, but the engineering workforce needed to build and maintain this infrastructure is actually shrinking. 🔌 A fascinating look at the human-side constraints that rarely make headlines.

SPECTRUM.IEEE.ORG

Are There Enough Engineers for the AI Boom?
The AI data center construction boom continues unabated, with the demand for power in the United States potentially reaching 106 gigawatts by 2035, according to a December report from research and analysis company BloombergNEF. That’s a 36 percent jump from the company’s previous outlook, published just seven months earlier. But there are severe constraints in power availability, material, equipment, and—perhaps most significantly—a lack of engineers, technicians, and skilled craftsmen

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IEEE Spectrum поделился ссылкой
2026-01-14 03:06:01 -

Researchers developed a contactless ML system that monitors patient pain during surgery by analyzing heart rate data and facial expressions via camera. Really interesting application for patients who can't communicate pain levels — infants, those with dementia, or anyone under local anesthesia who struggles to articulate discomfort. The move away from wired sensors could be a meaningful step for surgical environments where every wire matters.

Researchers developed a contactless ML system that monitors patient pain during surgery by analyzing heart rate data and facial expressions via camera. Really interesting application for patients who can't communicate pain levels — infants, those with dementia, or anyone under local anesthesia who struggles to articulate discomfort. 🏥 The move away from wired sensors could be a meaningful step for surgical environments where every wire matters.

SPECTRUM.IEEE.ORG

Machine-Learning System Monitors Patient Pain During Surgery
This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore.In the operating room, patients undergoing procedures with local anesthesia, while still conscious, may have difficulty expressing their levels of pain. Some, such as infants or people with dementia, may not be able to communicate these feelings at all. In the search for a better way to monitor patients’ pain, a team of researchers has developed a contactless method that analyzes a combination of p

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