类脑智能应用技术研究中心致力于探索类脑智能前沿技术，目标是在机器上实现类人水平的感知、推理和决策能力。为实现该目标，实验室在相关的基础理论、智能算法和智能硬件系统方面开展研究，主要研究方向包括：
（1）类脑感知：面向多样实际应用场景对算法适应能力和持续学习能力的需求，研究高效在线学习算法，重点研究支持类脑芯片边缘在线学习的高效类脑神经网络学习算法。研究基于多模态信号的智能感知算法，包括图像/音频/视频的增强、压缩、识别等。
（2）类脑芯片：研究在线动态映射剪枝与生长工具链、支持在线学习的类脑行为级仿真模型、可重构计算核心以及动态自演化路由网络，构建面向边缘计算和在线学习的类脑芯片硬件架构，结合算法、部署和应用，实现高智能、高能效类脑芯片与系统。
（3）类脑系统：面向陌生环境识别、大范围地图构建和环境主动探索、研究自主环境感知、空间定位推理和面向目标的主动导航等关键技术。
类脑智能应用技术研究中心，隶属于上海交通大学电子信息与电气工程学院，坐落在上海交通大学闵行校区微电子楼，拥有价值2000多万元的实验设备，具有良好的研究环境和学术氛围。中心现有教授/副教授、研究员、高工、博士后、博士生、硕士生和工程师50多人。中心在类脑计算、类脑芯片架构、3D视觉智能处理、融合高精度导航、基于语义拓扑网的类脑多目标感知与导航等方面取得了丰硕成果，获得国家、地方政府与企业的大力支持，拥有专利100余项，发表论文300余篇，获国家科技进步二等奖1项，上海市科技进步特等奖1项。
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 Perception: Toward real-time adaptation to diverse realistic environments and long-time continual learning of incremental tasks, our study focuses on oneline learning algorithms, especially on highly efficient learing algorithms of spiking neural networks supporting on-chip learning on neuralmorphic hardware. Our reserch interests also include multi-modal signals based perception, including image, video, speech signals.
(2) Neuromorphic Chip: Research is conducted on an online dynamic mapping pruning and growth toolchain, a brain-inspired behavior-level simulation model that supports online learning, a reconfigurable computing core, and a dynamically self-evolving routing network, to construct a hardware architecture of a brain-inspired chip for edge computing and online learning. Combining algorithms, deployment, and applications, the goal is to achieve high-intelligence and high-energy-efficiency brain-inspired chips and systems.
(3) Brain-inspired System: For the unfamiliar environment recognition, large-scale map construction, and active exploration of the environment, studying the key technologies such as autonomous environmental perception, spatial positioning reasoning and target oriented active navigation.
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, good research environment and academic atmosphere. 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 300 papers. More importantly, BATC won a second prize of National Science and Technology Progress, and a special prize of Shanghai Science and Technology Progress.