In the summer of 1956, a group of young visionary scientists headed by McCarthy, Minsky, Rochester and Shannon, gathered in the Dartmouth College in the United States, and proposed the term “Artificial Intelligence” for the first time. In the same year at Mr. Qian Xuesen’s initiative, Institue of Automation, Chinese Academy of Sciences (CASIA) was founded, which ignited the development of China’s Artificial Intelligence. For more than six decades, a group of outstanding scholars at home and abroad gathered at CASIA, and have set up research directions in Control Engineering, Pattern Recognition, Complex System Science, Integrated Circuit Analysis and Design, etc., and have formed a distinct academic advantages and technical characteristics in Visual Computing, Speech Recognition, Big Data Intelligence Analysis and Processing, Intelligence Robots, High Performance Digital Processor, Brainnetome, Molecular Imaging, etc.
According to the data released by Elsevier SCOPUS, CASIA is the only one independent institute among all the others in China that has published more than 500 papers from 2011 to 2015 in the field of AI, obtaining a rather high citation score which ranks the seventh in the world. Up till now, CASIA has established 12 research departments, including 2 National Laboratories, and 1 National Engineering & Technology Research Center. Focusing on the artificial intelligence industry applications, CASIA has built 12 jointly established research centers in cooperation with local governments. Meanwhile in frontier areas such as Brain-inspired Intelligence,CASIA also has involved in 6 jointly established laboratories in cooperation with international research institutions such as the Sino-European Laboratory of Informatics Automation, and Applied Mathematics (LIAMA). Furthermore, CASIA owns 2 industrial funds sum of more than 1 billion Yuan, thus CASIA has conducted applied basic research, high technology research, development and transfer.
I went to study in England in 1985, and stayed there for nearly 13 years. Of course it’s my years of desire to work in my own country, especially when the Hundred Talents Plan of Chinese Academy of Sciences (CAS), actually provided me an extremely good chance.
A lot of things are easy to carry out in our country, but are rather hard to get progress abroad because of various limitations. In terms of efficiency, it’s much easier to move forward in China than in abroad, especially researches relating to disease, because we have abundant domestic resources.
I came back home under the Hundred Talents Plan, and started with one to two students, now it has gradually became a team with dozens of students and scholars.
I mainly did three things in the Institute of Automation: Social Computing, Parallel Intelligence, and the Knowledge Automation. Very coincidentally, they are the techniques of greatest demand today, so i believe there’s much space in this area for the Institute of Automation.
CASIA has several advantages: first of all it is located in Beijing, which is a cultural political and academic center; secondly CASIA and CAS provide a relatively independent research platform so we can do what we want to do, for example the idea of researching on the interdiscipline of robots and neuroscience was made on a whim after i read an article. I found it interesting and decided to set about doing it. Probably there’s a third advantage that CASIA is a galaxy of talents where you can meet and communicate with very intelligent people.
After the year of 2003, our laboratory was brought into the national key laboratory management system. After another 9 years, in 2013 it officially became a national key laboratory, so what we have achieved today, in my opinion, is the fruit of my persistence and all the researchers’ efforts. I am quite satisfied to have such an achievement in a lifetime.
Seeing from now the choice i made was correct, i applied for the Hundred Talents Plan of CAS without hesitation at that time. Nowadays, China has launches China Brain Project, which is the research direction i’ve been dedicated to for all these years. Last year, we published the first brand new human Brainnetome Atlas. In the Brain Atlas research history of more than 100 years, it’s the first time that we Chinese made such a contribution. Last year, this progress was rated one of the “Ten Major Scientific and Technological Progress of China, 2016”, as well as one of the “Top Ten Medical Progress of China, 2016”. Actually i regard it as my research achievement of greatest importance since i came back in China.
Nowadays, people pay a lot of attention to Biometric Feature Recognition, which is a very important research field, especially for a populous country like China. Objectively speaking, CASIA possesses international fame in this area. I was also glad to make my own contribution in this process, especially one of the important branches that is called Iris Recognition. Looking back on the process of almost 20 years, we could declare that we have made distinct progress we are proud of in the development of a full innovation chain, including Iris Recognition basic research, high technology research, development and transfer.
The research field of my laboratory is High-speed Vision. Nowadays we are focusing to develop and realize the processing algorithm of high-speed video streaming. Currently, we have achieved the development and realization of a feature extraction algorithm which is multi-targeted and works for 12000 frames per second.
My research field is System Neuroscience. We hope to find out how our brain work by experimental theory analysis and calculation modeling. Now we are also cooperating with other colleagues to carry out research in Brain-inspired Computing and Brain-computer Interface. To put it simple, we hope be inspired by the way our brain works to help us design a new generation of more powerful humanoid artificial intelligence system.
I am engaged in Brain-inspired intelligence. The research has two meanings: on the one hand it reveals the essence of human intelligence, on the other hand, we will deploy Brain-inspired Cognition Computing Models to different types of robotic realities, making them human-level artificial intelligence.
My research field is Artificial Intelligence Chips. This is an area combining both theory research and application technology. Presently we are transplanting a large number of deep learning algorithms to mobile chips and embedded chips. We also design some new computing architectures which are more suitable for deep learning computing to adapt to the present artificial intelligence algorithm.
My major research field is Tumor Medical Molecular Imaging. To be specific, it’s a research based on Multimodal Molecular Imaging for Tumor Vector Targeting Imaging and Treatment. Our team has also made a series of research progress, including publishing a number of high-level papers on Nature and other international journals, and greatly improves the early diagnosis of cancer and the effect of targeted therapy.
My research subject is the development of Multimodal Optical Molecular Imaging Equipment. We combine Optical Molecular Imaging, Structural Imaging and Metabolic Imaging to get information on tumor cell at molecular level. The equipments we developed not only support our team and cooperating organizations in carrying out research in early diagnosis of tumor, publishing a series of high-level papers in Nature and other international journals, but also start clinical applications in operative molecular imaging navigation. Our team is a typically multidisciplinary research team. Most of our team members possess and overseas education background.
As China’s state research institute in Intelligence Science and Technology, we are vigorously developing Brain-inspired Intelligence which integrates brain science and intelligent technologies, and driving the in-depth combination of artificial intelligence and various economic and social sectors.
We sincerely welcome all the outstanding talents both at home and abroad to join CASIA, and together with us promote China’s artificial intelligence technology innovations.
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