GTC 2017

The Next Generation of AI and Deep

Learning

THE GPU TECHNOLOGY CONFERENCE (GTC) IS THE EVENT OF THE YEAR FOR DEEP LEARNING, ARTIFICIAL INTELLIGENCE, AND GPU DEVELOPERS.

Image Source: NVIDIA

GTC offers valuable training and a showcase of the most vital work in the computing industry today – including artificial intelligence and deep learning, healthcare, virtual reality, accelerated analytics, and self-driving cars.

THE POWER OF GTC

FOR DEEP LEARNING AND AI GTC 2017 brings industry experts, data scientists and business leaders to discuss how deep learning can transform their digital business. The track will showcase NVIDIA, customer and partner solutions leveraging GPUs to accelerate data processing and visualization to provide deeper insights.

Joseph SpisakAMAZONManager of Product Management for Amazon AI

Anirdudh KoulMICROSOFTDeep Learning Data Scientist

Oliver GevaertSTANFORD UNIVERSITYAssistant Professor

• Lex Fridman, MIT• Andrew Gibiansky, Baidu SVAIL• Bradley Erickson, Mayo Clinic• Bryan Goodman, Ford Motor

Company• Joseph Bradey, Databricks, Inc.

• Joseph Spisak, Amazon• Anirudh Koul, Microsoft• Stephen Merity, Salesforce

Research• Olivier Gevaert, Stanford

University

FEATURED DEEP LEARNING SPEAKERS AT GTC17

ABOUT THE SPEAKER: JOSEPH SPISAKJoseph Spisak has experience driving strategies and business engagements around machine learning-based cloud workloads such as computer vision, natural language processing, video summarization, and speech recognition, and managed P&Ls at the $200 million-plus level

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ABOUT THE SPEAKER: ANIRUDH KOULAnirudh Koul is a data scientist at Microsoft. Anirudh brings a decade of applied research experience on petabyte-scale social media datasets, including Facebook, Twitter, Yahoo Answers, Quora, Foursquare, and Bing. Adept at rapidly prototyping ideas, Anirudh has won over two dozen innovation, programming, and 24-hour hackathons.

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ABOUT THE SPEAKER: STEPHEN MERITYStephen Merity is a senior research scientist at Salesforce Research, joining as part of the MetaMind acquisition. Stephen holds a master's degree in computational science and engineering from Harvard University and a bachelor of information technology from the University of Sydney.

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ABOUT THE SPEAKER: OLIVER GEVAERTOlivier Gevaert is an assistant professor at Stanford University focusing on developing machine-learning methods for biomedical decision support from multi-scale biomedical data. He is an electrical engineer by training with additional training in artificial intelligence, and a Ph.D. in bioinformatics at the University of Leuven, Belgium. LEARN MORE: Linkedin | Research | Session

ABOUT THE SPEAKER: LEX FRIDMANLex Fridman is a Postdoctoral Associate at the MIT AgeLab. He received his BS, MS, and PhD from Drexel University where he worked on applications of machine learning and numerical optimization techniques in a number of fields including robotics, ad hoc wireless networks, active authentication, and activity recognition.

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ABOUT THE SPEAKER: ANDREW GIBIANSKYAndrew is a software engineer and machine learning scientist at Baidu SVAIL with an interest in deep learning, computational biology, and most other interesting computational problem. I have an extensive background in computer science and applied mathematics.

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ABOUT THE SPEAKER: BRADLEY ERICKSONBrad Erickson received his M.D. and Ph.D. from Mayo Clinic. He went on to be trained in radiology, and then a neuroradiology fellowship at Mayo, and has been on staff at Mayo for 20 years. He does clinical neuroradiology, has been chair of the Radiology Informatics Division, and is currently associate chair for research. LEARN MORE: Linkedin | News | Session

ABOUT THE SPEAKER: BRYAN GOODMANBryan Goodman leads Ford Motor Company's machine learning for autonomous vehicles department, including groups in Michigan, California, and Israel. Bryan has applied machine learning and optimization methods to business analytics problems at Ford for 15 years. LEARN MORE: Linkedin | Research | Session

ABOUT THE SPEAKER: JOSEPH BRADLEYJoseph Bradley is an Apache Spark Committee member and PMC member working on machine learning at Databricks. Previously, he was a postdoc at UC Berkeley, after receiving his Ph.D. in machine learning from Carnegie Mellon University.

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MEET HUNDREDS MORE INNOVATIVE DEEP LEARNING AND AI EXPERTS AT GTC17

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Use our Discount Code CMGTC17DL for 20% off