Morning Overview on MSN

Google unveiled TurboQuant, a method that cuts the memory bottleneck slowing large AI models

Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...
IEEE

Improved Speech Recognition using Vector Quantization, Genetic Algorithm and Neural Networks

Abstract: Speech recognition has long been one of the most difficult and active research problems in Artificial Intelligence (AI). Automatic Speech Recognition (ASR) finds applications in the field of ...
The Verge

Use this map to find the data centers in your backyard

Knowledge is power, so here’s how to find power-gobbling data centers near you. Knowledge is power, so here’s how to find power-gobbling data centers near you. is a policy reporter at The Verge ...
IEEE

MuQ: Self-Supervised Music Representation Learning With Mel Residual Vector Quantization

Abstract: Recent years have witnessed the success of foundation models pre-trained with self-supervised learning (SSL) in various music informatics understanding tasks, including music tagging, ...