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New computer chips show promise for reducing energy footprint of artificial intelligence

New computer chips show promise for reducing energy footprint of artificial intelligence
CORVALLIS, Ore. – An Oregon State University College of Engineering researcher has helped develop a new artificial intelligence chip that could improve energy efficiency six times over the current industry standard. As the use of artificial intelligence soars, so does the amount of energy it requires. Projections show artificial intelligence accounting for half a percent of global energy consumption by 2027 – using as much energy annually as the entire country of the Netherlands.

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Oregon State University College of Engineering researcher, Sieun Chae, has contributed to the development of a new artificial intelligence chip that could significantly improve energy efficiency. The chip, based on a novel material platform, allows for both computation and data storage, mimicking the way biological neural networks handle information. This innovation could lead to a six-fold increase in energy efficiency over the current industry standard. Chae's research was recently published in Nature Electronics. The study was funded by the National Science Foundation and involved collaboration with researchers from the University of Michigan, the University of Oklahoma, Cornell University, and Pennsylvania State University. The OSU College of Engineering is a global leader in artificial intelligence, robotics, advanced manufacturing, and other fields.

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