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 ...

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

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

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

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 ...

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

Tesla Full Self-Driving leverages cameras, neural networks, and real-world testing to navigate traffic safely, advancing ...

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

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

Helix, the AI brain powering Figure’s humanoid robots, has been upgraded to its most ...

Video game enthusiasts probably could have predicted many of these findings. But not everything was so cut-and-dried. You ...