Blockchain security firm SlowMist has issued an urgent warning about a critical vulnerability in AI-powered coding tools that ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Abstract: Sparse Vector Coding (SVC) is a novel coding scheme of short packet transmission in Ultra-Reliable Low-Latency Communication (URLLC). SVC is usually modeled as a standard Compressed Sensing ...

Abstract: This paper addresses the unique challenges of compressing raw plenoptic video, in which the inherent hexagonal micro-image layout and sparse distribution of motion vectors (MVs) often ...

Bevy Vector Shapes is in the early stages of development. You may encounter issues, but feel free to report them.

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...