AI is accelerating the commoditization of specialized expertise. The sustainable competitive advantage is connecting it ...

Adding big blocks of SRAM to collections of AI tensor engines, or better still, a waferscale collection of such engines, turbocharges AI inference, as has ...

If algorithms can track, classify, and predict behaviour at scale, can they also narrate a life before it is lived?

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...

Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Lenders and property investors now use AI to read leases, scan satellite images and flag tenant risk without a site visit. Here's how it works and what it means for you.

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

A new technical paper titled “Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous vehicles” was published by RMIT University, Kyungpook National University, ...

The F-35's AI-enhanced identification capability is blending sensor fusion with machine learning to classify unknown contacts ...