OpenAI plans to spend about $600 billion on computing infrastructure by 2030 as it eyes an IPO and rapid AI growth.

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 ...

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

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 ...

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

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

AiRANACULUS, a private, Massachusetts-based technology company providing state-of-the-art Artificial Intelligence (AI) ...

6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...

Stop obsessing over trendy algorithms; your sloppy key management is the real security "black hole" that AI and quantum ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...