Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...
The rapid acceleration of artificial intelligence has pushed demand for high-performance GPUs far beyond global supply. These ...
Morning Overview on MSN
A quantum trick is shrinking bloated AI models fast
Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Interesting Engineering on MSN
New quantum method lets drones, robots talk even in ‘signal lost’ zones
Researchers at Virginia Tech are using quantum entanglement to help AI drone swarms and robots coordinate in "signal lost" ...
Learn the right VRAM for coding models, why an RTX 5090 is optional, and how to cut context cost with K-cache quantization.
Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that ...
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