Date：2023年11月21日9：00 Address：建筑馆报告厅 Speaker：Prof. Dr. Wolfgang Maass Title：Brain-like spiking neural networks: A 4th generation of neural network models. Abstract： The architecture and learning methods of spiking neural networks (SNNs), the 3rd generation of neural network models, are usually inspired more by artificial neural networks (ANNs) than by the brain. Hence it …
The 16th National Academic Conference of the Chinese Society for Neuroscience, along with the 2nd China-Japan-Korea International Conference, will be held in Zhuhai, China from July 27th to July 30th, 2023. During this event, Professor Shi Luping and Professor Liu Qi will organize the Brain-Inspired Computing Forum. For more information, …
Defense Overview Recently, there has been good news from Tsinghua University’s Center for Brain Inspired Computing Research. The center’s faculty and students have witnessed the birth of four new doctors: Yang Yifei, Zhang Weihao, Liu Faqiang, and Xu Mingkun. ▲ (1) Yang Yifei, (2) Zhang Weihao, (3) Liu Faqiang, and …
Over the past decade, the CBICR team has defined and researched the challenges of developing neuromorphic computing without a complete understanding of the human brain. After nearly 10 years of dedicated effort, they successfully developed a comprehensive neuromorphic computing technology stack containing architecture, chips, systems, and software toolchains. Specifically, they …
In recent years, the computer science-oriented machine learning paradigm, mainly based on artificial neural networks, and the neuroscience-oriented neuromorphic computing paradigm, mainly based on spiking neural networks, have been widely studied and applied in intelligent systems. Each paradigm has its advantages and disadvantages in terms of applicable feature types, accuracy, …
The High Tech Research and Development Center (Administrative Center for Basic Research) of the Ministry of Science and Technology announced China’s Top 10 scientific advances of 2019. The architecture of a hybrid-paradigm Tianjic chip towards AGI, developed by a team led by Professor Shi Luping from the Center for Brain-Inspired Computing Research of Tsinghua University, was achieved the great share of the votes.
“Hybrid-paradigm Tianjic Chip towards Artificial General Intelligence” by Shi Luping—professor of the Department of Precision Instrument at Tsinghua University—and his team was selected as one of the top ten scientific and technological advancements in China in 2019.
This chip is the world’s first hybrid-paradigm chip for brain-inspired computing to facilitate the development of artificial general intelligence (AGI). On the research results, the paper “Towards artificial general intelligence with hybrid Tianjic chip architecture” was published as a cover article in the 1st August edition of the journal “Nature”.
Source: Xinhua News Agency Client, May 27, 2023. On May 26, 2023, the Chip Conference · Frontier Science Forum was held in Wuxi Binhu. Experts from domestic key chip research institutes and universities, representatives from domestic and foreign chip industry enterprises, and investors gathered by the Taihu Lake to discuss …
On March 24, 2023, the inaugural meeting of the Chinese Society for Neuroscience Computational Intelligence Branch, the first committee meeting of the Computational Intelligence Branch, and the Brain-Inspired Computing and Intelligence Forum were successfully held at the Guangdong Provincial Institute of Intelligent Science and Technology. The Computational Intelligence Branch currently …
