The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

Corporate leaders often look to AI for breakthrough innovations, but a faster and more reliable payoff lies in using it to ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

However, traditional clinical trial designs are often ill-suited for rare disease research with common challenges including ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

Opinion: As confidence in AI grows, teams want to move from individual experimentation to consistent ways of working. Those ...

The horrific death of an Olive Garden cook who threw himself into the restaurant’s deep-fryer in an apparent suicide was so jarring even the emergency dispatcher broadcasting the service call sounded ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

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