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 ...

Anyone exploring technological advances in artificial intelligence (AI) will inevitably encounter spiking neural networks (SNNs) — the next step toward energy‑efficient real‑time AI. The difference ...

One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...

Vention says that more than 25,000 of its robots are deployed in over 4,000 facilities worldwide. According to BetaKit, the ...

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

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

Researchers at NYU and the University of Florida claim its neural network proposes molecular structures at 10 times the speed ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

At CES 2026, I noticed quite a few smart glasses trends, but maybe one of the most interesting was that smart glasses seemed ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...