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

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Phys.org

Computational model predicts telomere length from routine biopsy slide images

A new computational tool infers changes occurring at the ends of the chromosomes housing our DNA. It does so by detecting structural alterations in cells and tissues captured in images taken of ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
BMJ

P-43 Titin genotype is associated with skeletal muscle fascicle length in recreationally active men and running performance in habitually trained marathon runners

1 MMU Sports Genomics Laboratory, Department of Exercise and Sport Science, Manchester Metropolitan University, UK 2 School of Sport and Exercise Sciences, Liverpool John Moores University, UK Methods ...
Pew Research Center

Key findings about how Americans view artificial intelligence

Artificial intelligence (AI) has become part of everyday life for many Americans – at work, at school, in health care and beyond. As AI spreads, the public remains cautious, but somewhat open to its ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...