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 ...

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

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

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

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of ...

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 ...

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

A major share of investment will go toward modernizing power grids through automation, microgrids, AI-driven demand ...