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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.
AP Memory is expanding into AI servers and high-performance computing, with its S-SiCap roadmap delivering concrete progress.
Follow ZDNET: Add us as a preferred source on Google. In the era of smart TVs, convenience rules. With just a few clicks, we can access endless entertainment — but that convenience comes with a catch: ...
One of the most detailed 3D maps of how the human chromosomes are organized and folded within a cell's nucleus is published ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
Google Maps began the process of changing the name of the Gulf of Mexico to the Gulf of America after a recent executive order signed by President Donald Trump made the name change official. It is now ...
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