Artificial Intelligence per Kilowatt-hour: Max Welling, University of Amsterdam

Professor Welling is a research chair in Machine Learning at the University of Amsterdam and a Vice President Technologies at Qualcomm. He has a secondary appointment at the Canadian Institute for Advanced Research (CIFAR). He is co-founder of “Scyfer BV” a university spin-off in deep learning which was acquired by Qualcomm. Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015 and has been program chair for AISTATS (’09), NIPS (’13) and ECCV (’16) and general chair of NIPS in 2014. He received an NSF career grant in 2005 and is a recipient of the ECCV Koenderink Prize in 2010. Welling’s machine learning research labs are AMLAB, Qualcomm QUVA Lab and Bosch Delta Lab.

Talk title: Artificial Intelligence per Kilowatt-hour

Synopsis: The successes of deep learning are spectacular. But modern deep learning architectures with hundreds of layers and millions of parameters require an extraordinary amount of computation and data to train and execute. At the same time, more compute is moving to the edge. We predict that the next battle in AI is over how much intelligence can be squeezed out of every kilowatt-hour of energy.

Max will discuss a number ideas to make progress on this problem, including compressing deep neural nets, computing with low bit precision and spiking neural networks.

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Видео Artificial Intelligence per Kilowatt-hour: Max Welling, University of Amsterdam канала The Alan Turing Institute