Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
Law

The Distinction Between Abuse of Process and Wrongful Use of Civil Proceedings

The Distinction Between Abuse of Process and Wrongful Use of Civil Proceedings Some recent opinions have highlighted one of the key differences between the two types of claims, the distinction between ...
GitHub

RuntimeError during INT4 AWQ quantization of Qwen3-Next-80B-A3B-Instruct: probability tensor contains inf/nan Description

When attempting to quantize Qwen3-Next-80B-A3B-Instruct using the HF PTQ example with INT4 AWQ quantization, the calibration process appears to complete successfully ...
blockchain

NVIDIA's NVFP4 KV Cache Revolutionizes Inference Efficiency

NVIDIA introduces NVFP4 KV cache, optimizing inference by reducing memory footprint and compute cost, enhancing performance on Blackwell GPUs with minimal accuracy loss. In a significant development ...
Hackaday

Making The Smallest And Dumbest LLM With Extreme Quantization

The reason why large language models are called ‘large’ is not because of how smart they are, but as a factor of their sheer size in bytes. At billions of parameters at four bytes each, they pose a ...
marktechpost

Multi-Scale Neural Audio Codec (SNAC): An Wxtension of Residual Vector Quantization that Uses Quantizers Operating at Multiple Temporal Resolutions

Neural audio compression has emerged as a critical challenge in digital signal processing, particularly in achieving efficient audio representation while preserving quality. Traditional audio codecs, ...
IEEE

DL-AQUA: Deep-Learning-Based Automatic Quantization for MMSE MIMO Detection

Abstract: Directly affecting both error performance and complexity, quantization is critical for MMSE MIMO detection. However, naively pruning quantization levels is ...