Award winner Radu Marculescu of Carnegie Mellon talks about his career, who inspires him the most, and what is about to turn artificial intelligence on its head.

Zhi-Hua Zhou, professor of computer science and artificial intelligence at Nanjing University, is currently serving as the head of the Department of Computer Science and Technology, dean of the School of Artificial Intelligence, and deputy director of the National Key Laboratory for Novel Software Technology. He is the founding director of the LAMDA Group.

In addition to holding several leadership positions at Nanjing University, Zhou has developed many industry innovations. Here’s what he had to share. Read more.

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COMPSAC is the IEEE Computer Society's signature Conference on Computers, Software and Applications. It is one of the major international forums for academia, industry, and government to discuss research results, advancements and future trends in computer and software technologies and applications. ...
Milwaukee, USA
This conference presents excellent, novel, and contemporary papers covering all aspects of Data, including Scientific Theory and Technology-Based Applications. New data analytic algorithms, technologies, and tools are sought to be able to manage, integrate, and utilize large amounts of data despite ...
Los Angeles, USA
Computing devices such as microprocessors, GPUs, DSPs, ASSPs, NNAs and related technologies such as memories, interconnects.
Cupertino, USA
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David Alan Grier
Djaghe, LLC
Quantum computing promises to help us someday reach impressive computing speed. Explains briefly what quantum computing is and discusses future applications for its use.
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Kaiming He
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of l...
IEEE Transactions on Pattern Analysis & Machine Intelligence
P. Salamon
Several means for improving the performance and training of neural networks for classification are proposed. Crossvalidation is used as a tool for optimizing network parameters and architecture. It is shown that the remaining residual generalization error can be reduced by invoking ensembles of simi...