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

Can a machine truly outthink the volatile winds emitted by the Sun? NYU Abu Dhabi researchers have shown it can by achieving a 45% improvement in predictive accuracy over existing operational models ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

Nexus proposes higher-order attention, refining queries and keys through nested loops to capture complex relationships.

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...

We conclude that brain states are shaped by local circuit mechanisms, large-scale connectivity and neuromodulation. A unified multiscale theory of cortical dynamics is relevant not only for ...

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

In recent years, the study of collective dynamics in complex systems has expanded beyond traditional pairwise network models to include non-pairwise ...