The brain-inspired application technology center (BATC) is committed to exploring the frontier technology of brain-like intelligence, with the goal of realizing human-like perception, reasoning and decision-making ability on machine. For this end, BATC has conducted many researches on the relevant basic theories, intelligent algorithms and hardware systems. The main contents include:
(1) Brain-inspired Algorithms: Research on computational models and learning mechanisms of brain-inspired intelligence, focusing on addressing the shortcomings of traditional algorithms in energy efficiency, adaptability, and generalization capabilities. The core areas include Spiking Neural Networks (SNN), brain-inspired reinforcement learning, neuromorphic computing, etc., which simulate the dynamic characteristics and plasticity of biological nervous systems to enhance real-time learning and decision-making efficiency in complex scenarios.
(2) Neuromorphic Chip: Design dedicated hardware supporting brain-inspired algorithms to break through the bottlenecks of traditional architectures in parallel computing and energy efficiency. Research neuromorphic chips, which achieve low-power and high-concurrency processing of spike signals through technologies such as in-memory computing and event-driven mechanisms, providing a hardware foundation for edge computing and real-time applications.
(3) Brain-inspired System: Build a software-hardware collaborative brain-inspired intelligence system to address the integration and large-scale deployment of brain-inspired algorithms and chip systems. Research areas include brain-inspired computing frameworks, brain-inspired robotics systems, etc., optimizing the coordination of algorithms, chips, and sensors to achieve perception-decision-control closed loops, and promoting the implementation of applications such as autonomous driving, intelligent manufacturing, and smart healthcare.
BATC is subordinate to the School of Electronic Information and Electrical Engineering in Shanghai Jiao Tong University, located in the Microelectronics Building of Minhang District. It has experimental equipment worth more than 20 million CNY, our laboratory is equipped with abundant computing resources, including several high-performance multi-GPU servers, which can meet the high computational demands of AI research. There is a good research environment and academic atmosphere here. At present, there are more than 50 people in BATC, including professor, associate professors, researchers, senior engineer, post doctor, postgraduate students and engineers. BATC has made fruitful achievements in brain-like computing and neuromorphic architecture, 3D visual intelligent processing, integrated high-precision navigation, brain-like multi-target perception and navigation based on semantic topology network, etc. It has obtained the strong support of national and local governments and enterprises, applied for more than 100 patents and published more than 100 papers. More importantly, BATC won a second prize of National Science and Technology Progress, and a special prize of Shanghai Science and Technology Progress.
Contact
address: 309 Room, Microelectronics Building, 800 Dongchuan Road, Minhang District, Shanghai
mail: huangjiayi@sjtu.edu.com
tel: +8621-34204635