Researchers challenge the "efficiency" theory of the brain, showing that neurons become more coordinated and share more information as learning occurs.

Chemical toxicity evaluation is vital in the medical, industrial, and agricultural sectors to ensure rigorous safety testing and to prevent harmful ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

This effort has taken form in "Axis of Becoming", an AI-driven cross-cultural serious educational game grounded in ...

Persistence, customer focus, and continuous experimentation turn early-stage ideas into global, resilient businesses.

We found no strong automatic tendency to see AI or human art as inherently better or worse. This finding tells us that people don’t yet have a knee-jerk reaction or deeply held opinion about AI as ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Theresa S Betancourt and colleagues argue that implementation and systems strengthening are urgently needed to integrate mental health and psychosocial support interventions across health, education, ...

A Dartmouth study challenges the conventional view that the amygdala-the two-sided structure deep in the brain involved in emotion, learning, and decision making-is simply the brain's primitive "fear ...

Two sprinters can cross the same finish line seconds apart, yet their strides may look nothing alike. One might stretch long, ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

The “Uncertainty” Mechanism: Compulsive traits are linked to a specific decision-making strategy where habits are favored because the individual feels less certain about the consequences of long-term ...