If you haven't done so yet, register for the next free ACM Learning Webinar, "Large-Scale Deep Learning with TensorFlow for Building Intelligent Systems," presented on Thursday, July 7 at 12 pm ET by Jeff Dean, Google Senior Fellow and recipient of the 2012 ACM-Infosys Foundation Award. The talk will be followed by a question-and-answer session moderated by Stephen Ibaraki, Chair of the ACM Professional Development Committee and member of the ACM Practitioner Board.
(If you'd like to attend but can't make it to the virtual event, register now to receive a recording of the webinar when it becomes available.)
Note: You can stream this and all ACM Learning Webinars on your mobile device, including smartphones and tablets.
Over the past few years, we have built two large-scale computer systems for training neural networks, and then applied these systems to a wide variety of problems that have traditionally been very difficult for computers. We have made significant improvements in the state-of-the-art in many of these areas, and our software systems and algorithms have been used by dozens of different groups at Google to train state-of-the-art models for speech recognition, image recognition, various visual detection tasks, language modeling, language translation, and many other tasks. TensorFlow, our second system, is a platform for machine learning research and product deployment, and was released as an open-source project in November, 2015 (see tensorflow.org). I'll then discuss ways in which we have applied our work to a variety of problems in Google's products, usually in close collaboration with other teams. This talk describes joint work with many people at Google.
Duration: 60 minutes (including audience Q&A)
Presenter:
Jeff Dean, Google Senior Fellow, Google Research; 2012 ACM - Infosys Foundation Award Recipient
Jeff joined Google in 1999 and is currently a Google Senior Fellow in Google's Research Group, where he leads Google's deep learning research team in Mountain View, working on systems for speech recognition, computer vision, language understanding, and various predictive tasks. He has co-designed/implemented five generations of Google's crawling, indexing, and query serving systems, and co-designed/implemented major pieces of Google's initial advertising and AdSense for Content systems. He is also a co-designer and co-implementor of Google's distributed computing infrastructure, including the MapReduce, BigTable and Spanner systems, protocol buffers, LevelDB, systems infrastructure for statistical machine translation, and a variety of internal and external libraries and developer tools. He is currently working on large-scale distributed systems for machine learning. He received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on compiler techniques for object-oriented languages. He is a Fellow of the ACM and the AAAS, a member of the U.S. National Academy of Engineering, and a recipient of the Mark Weiser Award and the ACM-Infosys Foundation Award in the Computing Sciences.
Moderator:
Stephen Ibaraki, Chair, ACM Professional Development Committee
With a history of over 100 senior executive leadership roles, significant global contributions, awards and recognitions, Stephen Ibaraki is an IDG IT World (Canada) writer/blogger, multiple award winning serial entrepreneur and executive board chairman. He's founding chairman of the Global Industry Council (GIC), part of the United Nations (UNESCO) founded International Federation for Information Processing (IFIP) IP3, board vice-chairman of the IFIP International Professional Practice Partnership (IFIP IP3), vice-chairman of the international steering committee and/or advisory board IFIP CIE/CCIO World CIO Forum (2012 and 2014). In addition, Stephen advises start-ups, global fortune companies, and governments on strategy and technology; and has received numerous awards and accolades from high-tech organizations and companies. He's a founding fellow of the Canadian Information Processing Society (CIPS). Stephen is also very active with ACM, as Chair of the Professional Development Committee and a member of the ACM Practitioner Board.
Visit learning.acm.org/webinar/ for our full archive of past webinars.
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