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Event Highlights

Tuesday, November 14, 2017

Seminar Series -- Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) applications seem to be everywhere today, even though we have been waiting since the 1950s. Its current day components are called machine learning, deep learning, or cognitive computing. The widespread use of AI in a host of commercial products and services has been fueled by functioning digital neural networks, advances in lower cost and faster computer processing, as well as data analytics that allow efficient analysis of massive data sets. AI is crucial to present and future applications like self-driving autos, digital personal assistants that answer all our questions, effective speech and text recognition/translation, advanced image and face recognition, and detecting cancer. This Series will examine the status of these technologies and the policy challenges that could affect their future benefits.

All sessions (dinner meetings) will be held at Maggiano’s in DC at 6:30 p.m. on the second Tuesdays of October November through March. $320 pp members/guests; $350 pp all others. Space is available for the remaining 5 sessions. $270 pp members/guests; $300 all others.

Save the Date

The following events are not yet open for registration. When they are, they will move to the "Event Highlights" section above.

Thursday, March 22, 2018

Career Workshop
For the 22nd year the MIT Club, in conjunction the Sloan Club of DC, will present a career development workshop for all MIT alums.  Bryn Panee Burkhart (MIT Sloan) will lead a panel of local executives who will share their experiences and knowledge of the Washington market. There will be ample time for questions by attendees. Sandwich buffet & workshop.

Tuesday, April 10, 2018

The Materials Genome Initiative and Artificial Intelligence

The US Materials Genome Initiative is now in its seventh year. With a goal of accelerating the discovery, design, development, and deployment of new materials into manufactured products, the MGI is focused on the creation of a  materials innovation infrastructure.

James Warren is the director of this NIST initiative. NIST has framed its support for the MGI around the need for a data infrastructure that enables the rapid discovery of existing data and models, the tools to assess and improve the quality of those data, and finally the development of new methods and metrologies based on that data.  In partnership with agencies across the government, academia, and industry, these approaches are now yielding significant advances.  Of particular note is the potential for machine learning and artificial intelligence applications upon these troves of data, which is now being borne out, and the vast consequent opportunities for new discoveries.  The presentation will include a focused discussion on the special aspects of applying machine learning to physical phenomena, and the philosophical foundations of knowledge.

Please note that this is not part of the Seminar Series, but is a separately priced event. It will be held at Maggiano's. $46 pp for members and their guests; $53 pp for all others.

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