Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
Digi Times

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...
Design-Reuse

TES unveils a next-generation Elliptic Curve Digital Signature Algorithm (ECDSA) IP Core for Secure IoT, Blockchain, and Industrial Systems

TES Electronic Solutions GmbH unveils a next-generation VHDL-based ECDSA (Elliptic Curve Digital Signature Algorithm) IP core, designed to deliver high-performance, secure, and energy-efficient ...
Nature

Learning algorithms articles from across Nature Portfolio

This study investigated the computational mechanisms linking momentary craving and decision-making in people with moderate to high addiction risk levels for alcohol or cannabis use, uncovering ...
Nature

Genome assembly algorithms articles from across Nature Portfolio

We constructed a super pangenome for the tomato, incorporating 20 newly assembled telomere-to-telomere (T2T) genomes and 27 previously published genomes. This comprehensive, genus-wide resource ...