As a researcher investigating how electric brain stimulation can improve people's powers of recollection, I'm often asked how ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

When an AI model is trained on new information, it’s not uncommon for it to forget most of what it already knows. A discovery ...

Abstract: We propose a novel omnidirectional structured light system comprising a fisheye camera and a catadioptric projector, enabling dense 3-D reconstruction. In addition, we present a streamlined ...

AI coding agents ship code fast — but without structure, projects lose context between sessions. Agents commit without meaningful messages, skip documentation, use --no-verify to bypass hooks, and ...

Abstract: X-ray image based medical report generation achieves significant progress in recent years with the help of large language models, however, these models have not fully exploited the effective ...

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...