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 ...
Reuters

Exclusive: US military personnel are being targeted using location data, Pentagon letter shows

WASHINGTON, May 28 (Reuters) - U.S. forces deployed to war zones have been targeted using commercially available location data, according to reports fielded by military officials, an illustration of ...
GitHub

Channel-wise Vector Quantization

We present Channel-wise Vector Quantization (CVQ), a novel image tokenization paradigm that replaces patch-wise tokens with channel-wise tokens. Unlike conventional vector quantization, which assigns ...
IEEE

Compression Feedback Algorithm for Terahertz Channel State Information Based on Swin Transformer and Quantization-Aware Training

Abstract: With the rapid development of high-speed data services, terahertz communication systems have imposed higher requirements on the efficiency of channel state information (CSI) compression and ...
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 ...