ScienceDaily
AI just supercharged the race to find room temperature superconductors
A team of scientists has merged machine learning with quantum physics to uncover two new superconducting materials, while simultaneously developing a faster framework for finding more. The breakthrough matters because room-temperature superconductors — long considered a holy grail of materials science — would revolutionize energy transmission, transportation, and computing by eliminating electrical resistance entirely.
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How an interstellar comet sheds light on universe's 'cosmic noon'
Interstellar comet 3I/Atlas, which entered our solar system last year, has been confirmed by NASA as a natural object — not an alien spacecraft. What makes it remarkable is what it reveals: recent analysis suggests the comet originated from a distant galaxy, offering astronomers a rare physical sample tied to the universe's "cosmic noon," the peak era of star formation billions of years ago. It is, in effect, a messenger from deep cosmic history arriving at our doorstep.
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AI system translates protein sequences into text, helping reveal functions of unknown proteins
Researchers from Technion and Tel Aviv University have developed BetaDescribe, an AI system capable of converting raw protein sequences directly into natural-language descriptions of their functions. The tool targets one of biology's most persistent bottlenecks: the vast gap between known protein sequences and understood protein functions. By bridging that gap with accessible text output, BetaDescribe could meaningfully accelerate drug discovery and the design of new materials.
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This year's El Nino likely to become record-breaker: Top expert
This year's El Niño is on track to be the most powerful on record, according to a leading expert, surpassing previous benchmark events. The strengthening phenomenon raises serious concerns for regions worldwide, with heightened risks of severe droughts, flooding, and other climate extremes already associated with El Niño cycles. For vulnerable communities and policymakers, the warning signals an urgent need to prepare for potentially unprecedented weather disruptions.
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Researchers develop AI tool that finds the equations behind complex systems
Clarkson University researchers have built an AI tool called KANDy that extracts the underlying mathematical equations from complex, chaotic systems using raw data alone. The breakthrough targets systems that have long resisted traditional modeling due to noise, nonlinearity, and unpredictability. If it scales, KANDy could accelerate scientific discovery across fields where governing equations remain poorly understood.
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