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Best Technical Papers at IPC APEX EXPO 2022 Selected iconnect007.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from iconnect007.com Daily Mail and Mail on Sunday newspapers.
Nanotechnology Now - Press Release: SUTD researchers develop ultra-scalable artificial synapse nanotech-now.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from nanotech-now.com Daily Mail and Mail on Sunday newspapers.
SBU Team Wins SUNY Award to Help Fund Technology Startup, Orchid Imaging | stonybrook.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from stonybrook.edu Daily Mail and Mail on Sunday newspapers.
Date Time Researchers Present Spontaneous Sparse Learning for PCM-based Memristor Neural Networks An international team of researchers, affiliated with UNIST has unveiled a novel technology that could improve the learning ability of artificial neural networks (ANNs). Professor Hong-Sik Chungs and his research team in the Department of Materials Science and Engineering at UNIST, in collaboration with researchers from Tsinghua University in China, proposed a new learning method to improve the learning ability of ANN chips by challenging its instability. Artificial neural network chips are capable of mimicking the structural, functional and biological features of human neural networks, and thus have been considered the technology of the future. In this study, the research team demonstrated the effectiveness of the proposed learning method by building phase change memory (PCM) memristor arrays that operate like ANNs. This learning method also has the advantage that lea ....
In early February, at the beginning of the outbreak of the deadly COVID-19 virus in China, Wang Fang, a local Communist Party secretary, was working around the clock. As an official responsible for 19,000 residents of a neighborhood in the city of Deyang in Sichuan province, Wang spent her days answering questions from concerned citizens via WeChat and figuring out who needed to quarantine. In a post she published on the Sichuan Provincial Women’s Federation’s official WeChat account, Wang outlined a tightly scheduled 14-hour day. She said the responsibilities she shouldered as a female Party member at the local level outweighed the fears and worries of motherhood. ....