Magnetic tunnel junction-based devices could slash AI computing energy use over 1,000 times, offering lower costs and improved efficiency. Engineering researchers at the University of Minnesota Twin Cities have developed an advanced hardware device that could lower energy consumption in artificial intelligence (AI) computing applications by at least 1,000 times. As demand for AI applications […]
View more at https://www.electronicsforu.com/news/magnetic-tunnel-device-saves-ai-energy.
Credit- EFY. Distributed by Department of EEE, ADBU: https://tinyurl.com/eee-adbu
Curated by Jesif Ahmed
