Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...

Anthropic identifies AI persona drift and ties it to an “assistant axis”; tests across 275 roleplay characters, raising safety limits.

UCLA researchers have made a significant discovery showing that biological brains and artificial intelligence systems develop remarkably similar neural patterns during social interaction. This ...

A recent study from Baylor College of Medicine and Texas Children’s Hospital has identified a specific neural activity pattern as a novel biomarker to accurately predict and monitor the clinical ...

A new self-supervised machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, ...

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.

Scientists have developed a new machine learning method that reveals surprisingly consistent intrinsic brain patterns across different subjects by disentangling these patterns from the effect of ...

Researchers at University of California Los Angeles (UCLA) and Dartmouth College recently carried out a study exploring the possibility that people who end up becoming friends exhibit similar neural ...