GIBO Holdings Ltd. (NASDAQ: GIBO) today announced a significant technological breakthrough in its proprietary AIGC (AI-Generated Content) multimodal engine, marking the transition into a ...

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 ...

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

AI demands machine identities, zero-trust controls and stronger governance, as autonomous systems reshape security, ...

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 ...

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

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 ...

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

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

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