September 26-27, 2016
New York, NY
Vikash Mansinghka

Vikash Mansinghka
Research Scientist, MIT

Vikash Mansinghka is a research scientist at MIT, where he leads the Probabilistic Computing Project, and a cofounder of Empirical Systems, a new venture-backed AI startup aimed at improving the credibility and transparency of statistical inference. Previously, Vikash cofounded a venture-backed startup based on his research that was acquired by Salesforce, was an advisor to Google DeepMind, and held graduate fellowships at the National Science Foundation and MIT’s Lincoln Laboratory. He served on DARPA’s Information Science and Technology advisory board from 2010 to 2012 and currently serves on the editorial boards for the Journal of Machine Learning Research and Statistics and Computation. Vikash holds a PhD in computation, an MEng in computer science, and BS degrees in mathematics and computer science, all from MIT. His PhD dissertation on natively probabilistic computation won the MIT George M. Sprowls dissertation award in computer science, and his research on the Picture probabilistic programming language won an award at CVPR.

Sessions

2:20pm–3:00pm Monday, 09/26/2016
Interacting with AI
Location: 3D09 Level: Beginner
Average rating: ****.
(4.83, 6 ratings)
The next generation of AI systems will provide assisted intuition and judgment for everyday people trying to collaboratively solve hard problems. Vikash Mansinghka and Richard Tibbetts explore how AI will be used on problems like malnutrition, public health, education, and governance—complex, ambiguous areas of human knowledge where data is sparse and there are no rules. Read more.