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SUMMARY:IC Colloquium: Towards Literate Artificial Intelligence
DTSTART:20190311T101500
DTEND:20190311T111500
DTSTAMP:20260509T113928Z
UID:a6db4c7cfdbfa59135f0b0d36dc975f0bde7cb1a4d2e60d9418bd97c
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Mrinmaya Sachan - Carnegie Mellon University\nIC Faculty c
 andidate\n\nAbstract:\nOver the past decade\, the field of artificial inte
 lligence (AI) has seen striking developments. Yet\, today’s AI systems s
 orely lack the essence of human intelligence i.e.  our ability to (a) und
 erstand language and grasp its meaning\, (b) assimilate common-sense backg
 round knowledge of the world\, and (c) draw inferences and perform reasoni
 ng. Before we even begin to build AI systems that possess the aforemention
 ed human abilities\, we must ask an even more fundamental question: How wo
 uld we even evaluate an AI system on the aforementioned abilities? In this
  talk\, I will argue that we can evaluate AI systems in the same way as we
  evaluate our children - by giving them standardized tests. Standardized t
 ests are administered to students to measure the knowledge and skills gain
 ed by them. Thus\, it is natural to use these tests to measure the intelli
 gence of our AI systems. Then\, I will describe Parsing to Programs (P2P)\
 , a framework that combines ideas from semantic parsing and probabilistic 
 programming for situated question answering. We used P2P to build systems 
 that can solve pre-university level Euclidean geometry and Newtonian physi
 cs examinations. P2P achieves a performance at least as well as the averag
 e student on questions from textbooks\, geometry questions from previous S
 AT exams\, and mechanics questions from Advanced Placement (AP) exams. I w
 ill conclude by describing implications of this research and some ideas fo
 r future work.\n\nBio:\nMrinmaya Sachan is a Ph.D. candidate in the Machin
 e Learning Department in the School of Computer Science at Carnegie Mellon
  University. His research is in the interface of machine learning\, nat
 ural language processing\, knowledge discovery and reasoning. He recei
 ved an outstanding paper award at ACL 2015\, multiple fellowships (IBM fel
 lowship\, Siebel scholarship and CMU CMLH fellowship) and was a finalist 
 for the Facebook fellowship. Before graduate school\, he graduated with a
  B.Tech. in Computer Science and Engineering from IIT Kanpur with an Acade
 mic Excellence Award.\n\nMore information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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