(IN BRIEF) Researchers at Loughborough University have developed a brain-inspired computer chip that could significantly reduce the energy consumption of certain AI tasks, potentially by up to 2,000 times. The device uses nanoporous oxide memristors to process time-dependent data directly … Read the full press release
Posted in Artificial Intelligence (AI), Business, Education, Energy, Gas & Oil, Financial, Industrial, Infrastructure & Utilities, Investment, Management, Marketing, Science, Technology, United Kingdom
Tagged Advanced Intelligent Systems, AI chip, Brain Inspired Hardware Innovation from Loughborough Researchers Advances Sustainable AI Computing Capabilities, Breakthrough in Physical Computing Enables Scalable Low Energy AI Systems for Time Dependent Data Processing, data processing, Dr Pavel Borisov, energy-efficient AI, Engineering and Physical Sciences Research Council, hardware AI, Lorenz system, Loughborough University, Machine Learning, memristor, nanoporous oxide, physics innovation, Professor Sergey Saveliev, reservoir computing, sustainable computing
(IN BRIEF) The Technical University of Munich has developed a revolutionary AI chip, the AI Pro, designed by Prof. Hussam Amrouch. Unlike traditional AI chips, the AI Pro performs computations locally, eliminating the need for cloud servers or internet connections, … Read the full press release
Posted in Artificial Intelligence (AI), Business, Education, Financial, Germany, Industrial, Investment, Management, News, Science, Security & Safety, Technology
Tagged AI chip, AI energy efficiency, AI Pro, AI processor, cloud-free AI, customized solutions, data security, energy-efficient AI, health tracking, Hussam Amrouch, hyperdimensional computing, local processing, Machine Learning, neuromorphic computing, semiconductor technology, smartwatches, Technical University of Munich, TUM
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