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Your CT scan could reveal a hidden heart risk—and AI just learned how to find it

What if your old chest scans—taken years ago for something unrelated—held a secret warning about your heart? A new AI tool called AI-CAC, developed by Mass General Brigham and the VA, can now comb through routine CT scans to detect hidden signs of heart disease before symptoms strike.

Artificial intelligence isn’t hurting workers—It might be helping

Despite widespread fears, early research suggests AI might actually be improving some aspects of work life. A major new study examining 20 years of worker data in Germany found no signs that AI exposure is hurting job satisfaction or mental health. In fact, there s evidence that it may be subtly improving physical health especially for workers without college degrees by reducing physically demanding tasks. However, researchers caution that it s still early days.

From shortage to supremacy: How Sandia and the CHIPS Act aim to reboot US chip power

Once a global leader in chipmaking, the U.S. now lags behind. Sandia National Laboratories is spearheading a strategic comeback by joining a powerful new coalition the National Semiconductor Technology Center. Through cutting-edge research, collaborative partnerships, and workforce development, Sandia is aiming to reclaim semiconductor dominance, safeguard national security, and revolutionize tech innovation for everything from self-driving cars to AI processors.

AI Reveals Milky Way’s Black Hole Spins Near Top Speed

AI has helped astronomers crack open some of the universe s best-kept secrets by analyzing massive datasets about black holes. Using over 12 million simulations powered by high-throughput computing, scientists discovered that the Milky Way's central black hole is spinning at nearly maximum speed. Not only did this redefine theories about black hole behavior, but it also showed that the emission is driven by hot electrons in the disk, not jets, challenging long-standing models.

Passive cooling breakthrough could slash data center energy use

UC San Diego engineers have created a passive evaporative cooling membrane that could dramatically slash energy use in data centers. As demand for AI and cloud computing soars, traditional cooling systems struggle to keep up efficiently. This innovative fiber membrane uses capillary action to evaporate liquid and draw heat away without fans or pumps. It performs with record-breaking heat flux and is stable under high-stress operation.

This quantum sensor tracks 3D movement without GPS

Physicists at the University of Colorado Boulder have created a groundbreaking quantum device that can measure 3D acceleration using ultracold atoms, something once thought nearly impossible. By chilling rubidium atoms to near absolute zero and splitting them into quantum superpositions, the team has built a compact atom interferometer guided by AI to decode acceleration patterns. While the sensor still lags behind traditional GPS and accelerometers, it's poised to revolutionize navigation for vehicles like submarines or spacecraft potentially offering a timeless, atomic-based alternative to aging electronics.

Photonic quantum chips are making AI smarter and greener

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest that today s quantum technology isn t just experimental it can already outperform classical systems in specific tasks. Notably, this photonic approach could also drastically reduce energy consumption, offering a sustainable path forward as machine learning s power needs soar.

How outdated phones can power smart cities and save the seas

In a world where over a billion smartphones are produced yearly, a team of researchers is flipping the script on electronic waste. Instead of tossing out older phones, they ve demonstrated a groundbreaking approach: turning outdated smartphones into micro data centers. This low-cost innovation (just 8 euros per phone) offers practical applications from tracking bus passengers to monitoring marine life without needing new tech.

Scientists built a transistor that could leave silicon in the dust

Shrinking silicon transistors have reached their physical limits, but a team from the University of Tokyo is rewriting the rules. They've created a cutting-edge transistor using gallium-doped indium oxide with a novel "gate-all-around" structure. By precisely engineering the material's atomic structure, the new device achieves remarkable electron mobility and stability. This breakthrough could fuel faster, more reliable electronics powering future technologies from AI to big data systems.

Attachment theory: A new lens for understanding human-AI relationships

Human-AI interactions are well understood in terms of trust and companionship. However, the role of attachment and experiences in such relationships is not entirely clear. In a new breakthrough, researchers from Waseda University have devised a novel self-report scale and highlighted the concepts of attachment anxiety and avoidance toward AI. Their work is expected to serve as a guideline to further explore human-AI relationships and incorporate ethical considerations in AI design.

Self-powered artificial synapse mimics human color vision

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a self-powered artificial synapse that distinguishes colors with high resolution across the visible spectrum, approaching human eye capabilities. The device, which integrates dye-sensitized solar cells, generates its electricity and can perform complex logic operations without additional circuitry, paving the way for capable computer vision systems integrated in everyday devices.

Electronic tattoo gauges mental strain

Researchers gave participants face tattoos that can track when their brain is working too hard. The study introduces a non-permanent wireless forehead e-tattoo that decodes brainwaves to measure mental strain without bulky headgear. This technology may help track the mental workload of workers like air traffic controllers and truck drivers, whose lapses in focus can have serious consequences.

Traditional diagnostic decision support systems outperform generative AI for diagnosing disease

Researchers compared their long-standing diagnostic decision support systems AI tool, DXplain, with modern large language models like ChatGPT and Gemini, finding DXplain performed slightly better. They say their findings suggest that combining DXplain with LLMs could enhance clinical diagnosis and improve both technologies.
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