For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

The human brain is often compared to a computer, but the latest wave of research shows it is closer to a self-building city, ...

Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.

Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of ...

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...

Navigating the world is no mean feat, especially when the world pushes back. For instance, airflow hitting a fly on its right side can, after a turn, become a headwind. To stay on course, the fly's ...