Princeton scientists found that the brain uses reusable “cognitive blocks” to create new behaviors quickly.

The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...

The work that we’re doing brings AI closer to human thinking,” said Mick Bonner, who teaches cognitive science at Hopkins.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Entry jobs are inputs, and middle managers are "dropout layers." See why the few remaining executives are surging.

A new study led by cognitive neuroscientists at the University of Colorado Boulder and the Max Planck Institute for Human ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Google Research has unveiled Titans, a neural architecture using test-time training to actively memorize data, achieving effective recall at 2 million tokens.

New research shows that creative activities may slow the brain’s aging process. Here is how creativity strengthens cognitive ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...