Zhejiang Lab Overview

Zhejiang Lab is a research institute established jointly by the Provincial Government of Zhejiang, Zhejiang University and Alibaba Group in September, 2017. It has the core mission of scientific and technological advancement in Artificial Intelligence and Network Information and is to be built as a world-class basic research center.

Committed to achieving original breakthroughs, Zhejiang Lab explores the frontiers and the key technologies in intelligent perception, intelligent network, intelligent computing and intelligent system, aspiring to create an ecosystem for the research and development of intelligent information science, developing and promoting innovations with a global vision.

At present, the lab has gathered talents from all around the world with diverse academic and industrial experience. The technology roadmap is under the supervision of an Academic Advisory Committee. Committee members include academicians from the Chinese Academy of Sciences, the Chinese Academy of Engineering, Canadian Academy of Science and Turing Award winners. Current team leaders consist of Changjiang Scholars, Outstanding Youths and university professors. Many team members have PhDs and postdoctoral experience from major universities.

之江实验室是浙江省政府、浙江大学、阿里巴巴共同举办的混合所有制新型研发机构，以国家目标和战略需求为导向，以重大科技任务攻关和大型科技基础设施建设为主线，围绕智能感知、智能计算、智能网络和智能系统四个研究方向，开展前沿基础研究、关键技术攻关和核心系统研发，打造世界领先的基础研究和技术创新中心，全面支撑国家安全、数字经济和社会治理等重大战略领域的发展。

Research Priorities

Intelligent Computing

Focusing on the frontiers of artificial intelligence, we aim to surpass the limits of basic theories, innovate computing models, increase computing space, and improve computing efficiency through the following efforts:

• Studying the theories and methods in areas such as cognitive computing, machine learning, pattern recognition, knowledge intelligence; and overcoming problems in key technologies such as data mining and forecasting, visual analysis and comprehension, cross-media synthesis reasoning, and brain-like intelligent computing.
• Developing software and hardware systems for devices such as big data intelligent computers, brain-like chips and computers; and building super intelligent computing systems with heterogeneous hybrid architecture.
• Developing open source platforms for artificial intelligence to realize the openness of computing power, data and models; and building generalized open AI platforms in vertical fields such as security and health care.
• Developing edge cloud IoT operating systems and building supporting software platforms based on digital twin technologies.

 Intelligent Perception

Aiming at high-performance accurate perception, our research expands the range and precision of perception. We develop intelligent approaches to process multi-dimensional and multi-modal perception data to enable real-time responses to changes in environments and objects through the following efforts:

• Breaking the limits of basic quantum sensing theories and overcoming problems in core technologies such as atomic gyroscopes and inertial navigation, magneto encephalography and electrocardiography, optoelectronics and Micro-Electro-Mechanical Systems（MEMS）, quantum devices, and biosensing.
• Building large and precise quantum measurement devices, which can reach a sensitivity of 0.08 fT/Hz1/2 for measuring extremely weak magnetic fields and a sensitivity of 7×10-80 /s/Hz1/2 for inertia surveying, both being world-leading levels of precision. 
• Building a group of laboratories for super intelligent perception to develop key technologies and devices of biomimetic perception through studies in areas such as optics（spectral, polarization, and topographic）, mechanics（micro-deformation and micro-vibration）, acoustics（noise, ultrasound, and infrasound）, chemistry（contaminants）, and biology（signature microbes and biotoxins）; achieving breakthroughs in advanced perception technologies such as ultrafast optical fiber sensing; and establishing a sensor network（ubiquitous sensing）platform.

 Intelligent Networks

Our research aims to expand the dimension and scope of current networks, improve the quality and efficiency of network transmission, and enhance the security and reliability of ubiquitous networks through the following efforts:

• Studying the theories and methods in areas such as space-borne networks, B 5G/6G, high-speed optical switching, control systems, and IoT security; making breakthroughs in key technologies such as space-borne network security systems, multi-protocol satellite onboard switching, intelligent spectrum dynamic sharing, hyper and adaptive cellular coverage, silicon photonics high-speed switching chips, endogenous security in industrial control systems, and industrial latency-sensitive networks; and developing relevant prototype systems and platforms.
• Achieving 64*100 Gbps optical switching and establish a central experiment system with 1000 servers for all-optical switching data.
• Building an experiment system based on space-borne networks and sky-land collaboration; realizing a double-satellite connection between medium-earth-orbit wideband satellites; establishing new communication networks and security systems; and reaching an inter-satellite optic link of N*10 Gbps.

 Intelligent Systems

Focusing on areas such as national defense, industry innovation, social governance, and public welfare systems, we study the integrated application of intelligent technologies through the following efforts:

• Achieving breakthroughs for key technologies such as autonomous unmanned systems, triple space fusion systems, domain specific knowledge graphs, and interactive visual analysis decisions.
• Developing systems and platforms for applied technologies such as intelligent robots（flying, running, driving, software, and deformation）, digital twins（brains, equipment, and environments）, urban brains, and industrial brains.
• Realizing and verifying the application of intelligent technologies in areas such smart transportation, intelligent finance, intelligent health care, and military command.

科研概况/Scientific Research Overview

之江实验室聚焦人工智能和网络信息两大领域，重点在智能感知、智能计算、智能网络和智能系统等四大方向开展基础研究和技术创新。

四大科研方向 /Four Main Research Areas

智能感知：面向智慧社会对物理空间和社会空间自主感知的重大需求，全面研究智能感知的机理和方法，突破高性能高分辨传感器件和芯片、极限精密测量、类人智能感知、泛在智能健康感知、超高灵敏环境感知、多维数据智能融合处理等关键技术，研制先进的智能感知系统，打造完整的智能感知理论和技术体系。

智能计算：面向未来智慧社会对计算形态、计算软硬件、计算智能化的变革性需求，研究知识表达和认知计算、可解释可泛化机器学习等理论和方法，突破新型计算体系结构、新型计算软硬件、广域协同计算、大数据智能计算、多模态智能与交互、人机物融合智能等关键科学与技术问题，研发先进算法、核心芯片、软件平台与硬件系统，以创新计算模式，提高计算效能，提升智能水平。

智能网络：面向人机物三元空间融合对泛在高速互联与实时传输的重大需求，研究并突破光电融合的高速互联、超高速光与无线传输、全维可定义确定性网络等关键科学与技术问题，创新研发相关器件、芯片与系统，构建片上互联、集群互联、车路协同、工业互联网、全息通信等示范与验证平台，推进相关技术的标准化。

智能系统：面向社会治理、国防安全、数字经济等重大战略需求，全面攻克自主无人系统、信息物理融合、医疗健康和社会治理、金融科技等各类典型智能系统的关键技术和工程实现方法，研发智能系统共性关键技术与应用平台，打造广域协同、普惠泛在、随需接入的高效能智能系统，支撑智慧时代新型数字基础设施建设和战略新兴产业发展。