AI is coming! Are you ready? The story of “Self-Driving Datacenter” *
There is no doubt that Machine Learning finds space in every home today, but what do we know about it and how to apply? During this presentation I will cover:
• What do we think ML is vs what it is really?
• Why ML is the right solution using IT operations as an example?
• How do you build a “self-driving datacenter” using the open tools near you?
• Where do we go next?
Sergey Razin is the CTO, Ph.D. in CompSci, engineer by nature, and very passionate about technology. He is a founding member and contributor to a number of successful open source projects in the area of machine learning, semantics, and signal processing, including Sphinx, Boost STL, Asterisk, Pidgin, and Mahout. Sergey has over 15 years of experience in the area of analytics and machine learning where he pioneered application of such in the areas of IT security, media and speech recognition with 10 innovation disclosures in data science, signal processing, speech technologies, and communication protocols. For the past several years Sergey concentrated on applying machine learning to revolutionize IT operations in emerging areas of cloud, virtualization, distributed systems, and software defined datacenter.
How Did Artificial Intelligence Win at Go and So What?
Artificial Intelligence (AI) systems have achieved a number of high-profile victories over top humans in a variety of competitions, including Chess (Deep Blue) and Jeopardy (Watson). In contrast, until recently, the ancient game of Go remained an elusive challenge for AI, with many researchers believing that victories over top humans would be decades away.
In March 2016, the program AlphaGo, developed by DeepMind, surprised the research community by defeating the legendary Go professional, Lee Sedol, in a five game match. This achievement was made possible by the integration of several recent AI technologies and a high-performance computing infrastructure. In this talk, I will paint a picture of the main developments leading to AlphaGo and how those developments can have a reach beyond the game of Go.
Alan Fern is a Professor of Computer Science and Associate Head of Research for the School of EECS at Oregon State University. He received his Ph.D (2004) and M.S (2000) in Computer Engineering from Purdue University under the direction of Robert Givan, and his B.S (1997) in Electrical Engineering from the University of Maine. His research interests span a range of topics in artificial intelligence, including machine learning and automated planning, with a particular interest in work falling at their intersection. He is also interested in applications of AI, including AI for real-time strategy games, security, robotics, public policy, and activity recognition from video of American football and other sports. Fern is a recipient of a National Science Foundation Early CAREER Award, has won a number of best paper awards in top AI venues, and is associate editor for the Journal of Artificial Intelligence Research, Machine Learning Journal, and the Artificial Intelligence Journal. He is also interested in applications of AI, including AI for real-time strategy games, robotics, public policy, and activity recognition from video of American football and other sports.
*note: no need to RSVP via Eventbrite
• Doors will open at 5:30 for a 30-minute networking happy half-hour! The food, beer and drinks are provided by Bellagios and New Relic.
• The presentation will begin right at 6p.
• NOTE: after the event, everyone is invited to continue networking at a special happy hour opportunity, one story up at Portland City Grill.
› FutureTalks is brought to you by New Relic (http://www.newrelic.com/) in collaboration with TAO (http://www.techoregon.org/).