The Brighterside of News on MSN
New memory structure helps AI models think longer and faster without using more power
Researchers from the University of Edinburgh and NVIDIA developed Dynamic Memory Sparsification (DMS), letting large language ...
A digital presence has long been a must for any successful business. As things have progressed, it means that a modern website is no longer just a static brochure. It has become an active service ...
Discover how Amazon.com, Inc. Trainium AI accelerators are driving AWS cloud growth and stock upside. Click for why Trainium ...
Morning Overview on MSN
New supercomputer uses adaptive chips for faster, lower power
High performance computing has entered a new phase, one where the chips inside a machine can reshape themselves around the ...
Tech Xplore on MSN
Shrinking AI memory boosts accuracy, study finds
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
An Osaka Metropolitan University research team conducted a study that proposes a transparent multi-task framework that combines a multi-slot user memory with a dynamic gating network to jointly ...
The Global X U.S. Preferred ETF provides diversified exposure to preferred securities, with an emphasis on traditional fixed-rate preferred stocks. PFFD's portfolio includes baby bonds, mandatory ...
Tech Xplore on MSN
One pull of a string is all it takes to deploy these complex structures
MIT researchers have developed a new method for designing 3D structures that can be transformed from a flat configuration ...
Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...
Atkore's post-pandemic normalization hides a structural story of margin durability, capital restraint, and free-cash-flow ...
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