Important mental health history is often present in medical records but hard to find, especially when it is missing from the ...

A Cornell professor designed a room-size network of sensors that represented a single neuron. He claimed it would grow wiser ...

A new study led by researchers at The University of New Mexico School of Medicine analyzed electronic health records for more than 1.3 million patients served by the Veterans Health Administration ...

Researchers developed a machine learning framework to map ESG-driven conflict risks across energy transition mineral mining ...

Food waste is a nagging problem that weighs heavily on global food production, distribution and sales industries—but an ...

Teaching robots to manipulate objects with human-like dexterity remains one of the biggest challenges ...

The enterprises that succeed with their AI projects won't necessarily use a smarter model, but they will have a more reliable ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

AI may finally have a genuinely practical use case as researchers explore how it could reshape EV battery life, charging, and ...

Overview:  Multimodal AI is changing how machines process information by combining text, images, audio, video, and sensor ...

AI is already boosting positive outcomes in health care and holds promise for delivering many more. It is important, however, that deployment of AI tools—especially in a life-or-death health care ...

Artificial intelligence (AI) may dominate business conversations, but many organisations are still struggling to move beyond ...