As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.

Using single-cell RNA sequencing and genetic screening, the researchers identified key surface proteins that mediate ...

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...