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

Underwater Acoustic Communication Using Multi-Layer Vector Approximate Message Passing Evaluated on the Watermark Benchmark

Abstract: The multi-layer vector approximate message passing algorithm is applied to the problem of channel estimation in underwater acoustic communication addressing the estimation of time-varying ...
CalMatters

Data centers are guzzling California’s water. We have no idea how much

Data centers are expanding into water-stressed California communities. Lax disclosure rules keep the public in the dark about actual water usage. Welcome to CalMatters, the only nonprofit newsroom ...
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 ...