After hosting a webinar with Gunjan Shah, a former Senior Cloud Engineer, AI and Machine Learning at Google, analysts at Bernstein provided their thoughts on the amount of memory AI data centers ...
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 ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Learn the right VRAM for coding models, why an RTX 5090 is optional, and how to cut context cost with K-cache quantization.
A new technical paper titled “A Tensor Compiler for Processing-In-Memory Architectures” was published by researchers at ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
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 ...
Machine Design distills the cutting-edge landscape of advanced manufacturing through the eyes of multidisciplinary engineers, covering technical insights on the foundational and emerging principles of ...
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