A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...

Google's TurboQuant algorithm can cut AI memory needs by 6x, having the potential to fix the global RAM crisis and change the ...

Magnetic resonance imaging (MRI) at 3T is a cornerstone for neuroscientific research due to its widespread availability and versatility. The advent of ultra-high field (≥7T) scanners has significantly ...

Studying and designing novel materials is a central application of quantum mechanics. Chemists, materials scientists, and ...

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...

Lightning is one of nature’s most sudden and powerful forces, capable of causing extensive damage to property and ...

Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".

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

A new holographic storage technique uses light in three dimensions to dramatically increase how much data can be stored. It encodes information throughout a material using amplitude, phase, and ...

Marketing leaders are turning to zero- and first-party data to replace guesswork with intent-driven strategies that align ...