New memristor-based converter boosts energy efficiency in AI hardware
A cross-institutional team led by researchers from the Department of Electrical and Electronic Engineering (EEE), under the Faculty of Engineering at ...
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A cross-institutional team led by researchers from the Department of Electrical and Electronic Engineering (EEE), under the Faculty of Engineering at ...
Read moreDetailsAddressing the staggering power and energy demands of artificial intelligence, engineers at the University of Houston have developed a revolutionary new ...
Read moreDetailsOver the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently store increasing ...
Read moreDetailsResearchers at University of Tsukuba have developed a portable, silent subwoofer that combines electrical muscle stimulation with low-frequency vibrations. This device ...
Read moreDetailsSixth generation, or 6G, wireless technology is one step closer to reality with news that Chinese researchers have unveiled the world's ...
Read moreDetailsThe rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could ...
Read moreDetailsResearchers from MIT and elsewhere have designed a novel transmitter chip that significantly improves the energy efficiency of wireless communications, which ...
Read moreDetailsLarge language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and complexity typically ...
Read moreDetailsMIT researchers have designed a compact, low-power receiver for 5G-compatible smart devices that is about 30 times more resilient to a ...
Read moreDetailsPartial differential equations (PDEs) are a class of mathematical problems that represent the interplay of multiple variables, and therefore have predictive ...
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