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

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 ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

A new technical paper titled “Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like Google Cloud? Is AI-powered edge computing safer? More trusted?

Buy Nvidia stock ahead of second-half outperformance, Citi says. Citi is urging investors to add to Nvidia (NASDAQ:NVDA) ...

After years of rapid advancement in cloud‑centric AI training and inference, the industry is reaching an edge AI tipping point.

The Author is Ambassador of India to Ethiopia and Permanent Representative to the African Union The emergence of Artificial Intelligence (AI) as the defining technology of the 21st century has ...

New algorithm maps hidden global and genetic diversity in vaginal microbiomes, offering precision tools for reproductive health research.

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al ...