AI breaks through the high-computation barrier in fluid simulation, offering ultra-fast, high-fidelity modeling that could transform offshore energy systems, vessel design, and real-time ocean ...

Cedars-Sinai scientists unveil a powerful agentic AI model, ESCARGOT, that harnesses multiple intelligent agents and biomedical knowledge graphs to deliver sharper, faster, and more reliable answers ...

Marking a breakthrough in the field of brain-computer interfaces (BCIs), a team of researchers from UC Berkeley and UC San Francisco has unlocked a way to restore naturalistic speech for people with ...

A Cedars-Sinai–led study introduces OnSIDES, the most comprehensive AI-powered database of adverse drug events ever assembled, offering a transformative tool for preventing medication-related deaths ...

As personalized education gains recognition as crucial for student achievement, the traditional one-size-fits-all approach to teaching faces significant challenges. A study by Jiayi Liu, Bo Jiang, and ...

Researchers at the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, are advancing robotic perception capabilities by using artificial intelligence (AI) to equip autonomous agents ...

How does a robotic arm or a prosthetic hand learn a complex task like grasping and rotating a ball? The challenge for the human, prosthetic, or robotic hand has always been correctly learning to ...

A game-changing AI system called 'Plant Doctor' can now scan city trees using everyday video cameras, offering accurate health checks without harming plants—revolutionizing how we monitor urban ...

From smartwatches that detect heart attacks to imaging tools that diagnose disease with near-perfect accuracy, this new study shows how AI-powered medical devices are reshaping the future of patient ...

AI has become one of the greatest technological revolutions of our time. In the field of biomedicine, its ability to process large datasets and generate predictive models unlocks possibilities ranging ...

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A groundbreaking AI model reveals that antibiotic resistance is more likely to arise among genetically similar bacteria in human bodies and wastewater — a discovery that could transform infection ...