The Manila Times

Nota AI Has Two MoE Quantization Papers Accepted at ICML 2026 Workshop, Demonstrating Global Competitiveness in Large-Scale AI Optimization

Two papers on MoE-specific quantization algorithms accepted at a workshop held in conjunction with ICML 2026Recognition ...
Nature

Quantization Techniques in Neural Network Inference

Quantization in neural network inference refers to the process of mapping high-precision parameters and activations to lower-precision representations, typically using integer or even binary values.
Insider Monkey

Elastic N.V. (ESTC) Unveils ‘Better Binary Quantization’ to Enhance Elasticsearch for AI and Machine Learning Data Processing

We recently compiled a list of the 15 AI News That Should Not Be Ignored. In this article, we are going to take a look at where Elastic N.V. (NYSE:ESTC) stands against the other AI stocks that should ...
InfoWorld

What is model quantization? Smaller, faster LLMs

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...