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 ...

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 machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into ...

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 develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the ...

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 ...

Despite decades of research, scientists have yet to create an artificial neural network capable of rivaling the speed and accuracy of the human visual cortex. Now, Haizhou Li and Huajin Tang at the ...

Maryam Shanechi, Dean’s Professor of Electrical and Computer Engineering and founding director of the USC Center for Neurotechnology, and her team have developed a new machine learning method that ...