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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.
When you try to solve a math problem in your head or remember the things on your grocery list, you’re engaging in a complex neural balancing act — a process that, according to a new study by Brown ...
In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...
In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...
The very first all-electronic memory was the Williams-Kilburn tube, developed in 1947 at Manchester University. It used a cathode ray tube to store bits as dots on the screen’s surface. The evolution ...
Have you ever put your keys down and then completely forgotten where to find them? The brain has to work hard to protect information in your working memory from distractions. How this process works ...
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