GGUF parser vulnerabilities disclosed May 15, 2026 include a critical integer overflow that lets any malicious model file ...

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge ...

Empowering the world's largest computer vision ecosystem with a unified, one-click NPU hardware standard for building the next generation of real-world AI applications.

Your CPU can run a coding AI—here's why you shouldn't pay for one (as long as you have the patience for it).

Abstract: Quantization is a critical technique employed across various research fields for compressing deep neural networks (DNNs) to facilitate deployment within resource-limited environments. This ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

Abstract: We investigate information-theoretic limits and design of communication under receiver quantization. Unlike most existing studies that focus on low-resolution quantization, this work is more ...

Large language models (LLMs) are increasingly being deployed on edge devices—hardware that processes data locally near the data source, such as smartphones, laptops, and robots. Running LLMs on these ...