Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

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 ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...

Joe Carnahan's angry-cop movie The Rip shows signs of a creative second wind, not to mention fun turns from Ben Affleck and ...

TL;DR: Steal is an imperfect but addictive Prime Video thriller anchored by a standout performance from Sophie Turner. Its layered conspiracy and thematic ambition occasionally overwhelm the ...

“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...