Skyler Ware is a freelance science journalist covering chemistry, biology, paleontology and Earth science. She was a 2023 AAAS Mass Media Science and Engineering Fellow at Science News. Her work has also appeared in Science News Explores, ZME Science and Chembites, among others. Skyler has a Ph.D. in chemistry from Caltech.
Researchers have developed a new type of memory cell that can both store information and do high-speed, high-efficiency calculations.
"There's a lot of power and a lot of energy being put into scaling up data centers or computing farms that have thousands of GPUs that are running simultaneously," study co-author Nathan Youngblood, an electrical and computer engineer at the University of Pittsburgh, told Live Science."And the solution hasn't necessarily been to make things more efficient. It's just been to buy more and more GPUs and spend more and more power.
The numbers that result from this race around the ring resonator could be used to either strengthen or weaken connections between nodes in artificial neural networks, which are machine learning algorithms that process data in ways similar to the human brain. That could help the neural network identify objects in an image, for example, Youngblood said.
By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over.Unlike traditional computers, which make calculations in a central processing unit then send results to memory, the new memory cells perform high-speed computations inside the memory array itself. In-memory computing is particularly useful for applications like artificial intelligence that need to process a lot of data very quickly, Youngblood said.
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