Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

No programming is necessary; we do not need a software upgrade, just because we want to learn to ride a bicycle. Artificial neural networks are inspired by the early models of sensory processing ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

Smooth Exact Gradient Descent Learning in Spiking Neural Networks. Physical Review Letters , 2025; 134 (2) DOI: 10.1103/PhysRevLett.134.027301 Cite This Page : ...

Neural shaders, as Nvidia calls them, allow developers to execute small neural networks from shader code, running them on the dedicated AI hardware available on Nvidia, AMD, Intel, and Qualcomm GPUs.

A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever ...