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Tensordyne Converts AI Matrix Math To Logs To Crank Up Inference Oomph

Transformations are the key to such codes, and they rely on math that predates computing as we know it by centuries. There ...
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 ...