According to AI front-line news, Zhang Tong, head of Tencent AI Lab, has left Tencent and may return to academia to continue his work related to academic research in the future
this news has been officially confirmed by Tencent. Dr. Zhang Tong has left, but Tencent has not responded to the reason for Dr. Zhang Tong's resignation and the specific future direction. For Dr. Zhang Tong's next stop, an anonymous source revealed that it was "director of CS department of HKUST"
Dr. Zhang Tong is a distinguished expert of the "Thousand Talents Program" of the central organization department. He has a bachelor's degree in mathematics and Computer Department of Cornell University and a master's degree and a doctor's degree in Computer Department of Stanford University
before joining Tencent, Dr. Zhang Tong once served as a professor of New Jersey State University, a researcher of IBM Research Institute, a director researcher of Yahoo Research Institute, a vice president of Baidu Research Institute and the head of big data laboratory. During this period, he participated in and led the development of a number of machine learning algorithms and application systems
Dr. Zhang Tong has participated in the big data expert committee of the National Academy of Sciences and has been responsible for many big data research projects funded by the National Science Foundation
in addition, Dr. Zhang Tong is a fellow of the American Statistical Society and the international society for mathematical statistics, and serves as the chairman or field chairman of international top machine learning conferences such as nips (Conference on the progress of neural information processing systems), ICML (International Conference on machine learning) and Colt (Conference on learning theory), And the editorial board of world-class artificial intelligence journals such as jmlr (machine learning research journal) and machine learning journal
on March 23, 2017, two years ago, Tencent announced the appointment of Dr. Zhang Tong, a top scientist in the field of artificial intelligence, as the director of Tencent AI lab
Tencent AI Lab was founded in 2016. The lab focuses on the basic research of artificial intelligence, mainly including four vertical fields: computer vision, speech recognition, natural language processing and machine learning
at the same time, based on Tencent's own business needs, Tencent AI Lab will also carry out R & D and application cooperation in four directions: content, social networking, games and platform tool AI
over the past three years, Tencent AI Lab has made great achievements in papers. In 2018 alone, 20 papers of Tencent AI Lab were selected into the famous international conference on machine learning and computational neuroscience nips and 21 papers were selected into the international top academic conference CVPR in the field of computer vision
in March 2018, Tencent AI Lab established Robot Lab robotics X. Dr. Zhang Zhengyou, the director of the lab, said: the main task of Tencent robotics x is to overcome the seven technical breakthroughs from a (AI) to G (Guardian Angel)
one is to overcome the basic "ABC" capabilities, namely, artificial intelligence (AI), robot body and automatic control; The second is to explore "defg" machine intelligence, including evolutionary learning, emotional understanding and personification (EQ), flexibility and other capabilities, and finally achieve the ultimate goal of becoming a human guardian angel
meanwhile, Tencent AI Lab officially reached strategic cooperation with nature research under Springer nature in March this year, aiming to promote the R & D and implementation of "Ai + medical" products
in September of the same year, Tencent AI Lab opened the image dataset ml images, which contains 18 million images and more than 11000 common object categories. It has the largest scale in the multi label image dataset published in the industry
in addition, Tencent AI Lab will also provide resnet-101, a deep residual network trained based on ML images. The model has excellent visual representation ability and generalization performance. At that time, it has the highest accuracy among similar models in the industry, and can provide support for visual tasks including images and videos
although a lot of achievements have been made in just three years, in the view of some people in the industry, Tencent AI Lab still has some problems: it has made great achievements in academia, but it can not compete with the first tier enterprises such as Google, Facebook, Microsoft and Amazon in terms of models, open source frameworks and product applications, and even has hardly made a machine learning platform that can be used internally
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