A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...

The idea of simplifying model weights isn’t a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...

Keen AI founder and CEO Amjad Karim explains how they are building a foundation model to improve electrical grid management.

A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...

AI is reshaping networking in ways that demand a new degree of programmability, observability, and optimization, and that promise to change developer roles. At Cisco Live 2025 in San Diego, Cisco CEO ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...