How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...

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 ...

Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern ...

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

One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...

Lifelong plasticity is a core principle of neuroscience, yet it operates within real limits shaped by effort, stress and ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

Kimi has a standard mode and a Thinking mode that offers higher output quality. Additionally, a capability called K2.5 Agent ...

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.

The childhood songs stuck in your head are actually protecting your memory Remember singing “Twinkle Twinkle Little Star” ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...