Probabilistic Programming For Augmented Intelligence

Summary

Vikash Mansinghka, MIT simons.berkeley.edu/talks/vikash-mansinghka-10-06-2016 Uncertainty in Computation. "Big Data problems are all over the place at Facebook. We've historically used discriminative methods such as neural networks ... [Marco] Hi, yes, so I'll be presenting some joint work with Vikash on Gen, a This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ... So in this talk I'm going to try to propose that we should consider a change to the conceptual model of This talk shows how to make smarter, safer AI that understands the world we do, using a new symbolic medium that I helped ... Learn more about watsonx: ibm.biz/BdPuCh In this video, Martin Keen explains the differences between Artificial, ... In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... Presentation slides: slideshare.net/SessionsEvents/avi-pfeffer-principal-scientist-charles-river-analytics Practical ... [Chair] Our next speaker is Kristian Kersting, who's been doing wonderful work on