Towards brain-like machine intelligence with large-scale spiking neural networks
Multimedia Learning Group
Institute of Digital Media (NERC), Peking University
Abstract: The brain’s structure and functions have consistently inspired the development of intelligent technologies throughout human history. Brain-inspired spiking neural networks (SNNs) emulate neural dynamics by incorporating event-based computations to capture temporal information, thereby enabling brain-like and energy-efficient computations. Currently, SNNs have been successfully applied in various fields, such as image recognition and object detection, and have the potential to revolutionize the field of artificial intelligence. However, the sizes of SNNs have been limited, which hinders potential performance improvements and thus their real-world application. Therefore, methods and theories for constructing large-scale SNNs must be developed to achieve their highest potential. In this talk, I will present some recent advances and developments with large-scale SNNs, including spiking neuron, large-scale network architecture and algorithms, programming frameworks and neuromorphic applications.
Bio
Yonghong Tian (S’00-M’06-SM’10-F’22) is currently the Dean of School of Electronics and Computer Engineering, a Boya Distinguished Professor with the School of Computer Science, Peking University, China, and is also the deputy director of Artificial Intelligence Research, PengCheng Laboratory, Shenzhen, China. His research interests include neuromorphic vision, distributed machine learning and AI for Science. He is the author or coauthor of over 350 technical articles in refereed journals and conferences such as Neture Communications, Science Advances, IEEE TPAMI, IJCV, ICML, NeuIPS etc. Prof. Tian was an Associate Editor of IEEE TCSVT (2018.1-2021.12), IEEE TMM (2014.8-2018.8), IEEE Multimedia Mag. (2018.1-2022.8), and IEEE Access (2017.1-2021.12). He co-initiated IEEE Int’l Conf. on Multimedia Big Data (BigMM) and served as the TPC Co-chair of BigMM 2015, and aslo served as the Technical Program Co-chair of IEEE ICME 2015, IEEE ISM 2015 and IEEE MIPR 2018/2019, and General Co-chair of IEEE MIPR 2020 and ICME2021. He is a TPC Member of more than ten conferences such as CVPR, ICCV, ACM KDD, AAAI, ACM MM and ECCV. He was the recipient of the Chinese National Science Foundation for Distinguished Young Scholars in 2018, two National Science and Technology Awards and three ministerial-level awards in China, and obtained the 2015 EURASIP Best Paper Award for Journal on Image and Video Processing, and the best paper award of IEEE BigMM 2018, and the 2022 IEEE SA Standards Medallion and SA Emerging Technology Award. He is a Fellow of IEEE, a senior member of CIE and CCF, a member of ACM.