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SUMMARY:Machine Learning and Modern AI: Strengths\, Weaknesses\, Opportuni
 ties\, and Threats (SWOT)
DTSTART:20200221T131500
DTEND:20200221T141500
DTSTAMP:20260510T065005Z
UID:3c1886e021ea43bf8e94f29cc8c75c243bbe611cd68361df66a9ec95
CATEGORIES:Conferences - Seminars
DESCRIPTION:Volkan Cevher received the B.Sc. (valedictorian) in electrical
  engineering from Bilkent University in Ankara\, Turkey\, in 1999 and the 
 Ph.D. in electrical and computer engineering from the Georgia Institute of
  Technology in Atlanta\, GA in 2005. He was a Research Scientist with the 
 University of Maryland\, College Park from 2006-2007 and also with Rice Un
 iversity in Houston\, TX\, from 2008-2009. Currently\, he is an Associate 
 Professor at the Swiss Federal Institute of Technology Lausanne and a Facu
 lty Fellow in the Electrical and Computer Engineering Department at Rice U
 niversity. His research interests include machine learning\, signal proces
 sing theory\, optimization\, and information theory. Dr. Cevher is an ELLI
 S fellow and was the recipient of the Google Faculty Research Award on Mac
 hine Learning in 2018\, IEEE Signal Processing Society Best Paper Award in
  2016\, a Best Paper Award at CAMSAP in 2015\, a Best Paper Award at SPARS
  in 2009\, and an ERC CG in 2016 as well as an ERC StG in 2011.\n\nAbstrac
 t: Machine Learning (ML) is an interdisciplinary study of algorithms\, st
 atistical models\, and error functions jointly with computer systems to pe
 rform specific tasks. The ML community that we can see at its premiere ven
 ues\, such as NeurIPS\, ICML\, AISTATS\, COLT\, and ALT\, is really a unio
 n of many distinct sub-communities\, from pure optimization and efficient 
 inference to deep learning and vision\, and from traditional high dimensio
 nal statistics and computer science theory to control and reinforcement le
 arning\, reflecting this definition perfectly.\n \nThis research diversit
 y in ML is really critical in moving forward towards the grand goal of ach
 ieving artificial intelligence (AI). To this end\, my talk describes the k
 ey directions and developments in ML and AI via a running SWOT analysis\, 
 supposed by our recent research results at the LIONS laboratory (https://l
 ions.epfl.ch).\n\n\n 
LOCATION:ELA 2 https://plan.epfl.ch/?room==ELA%202
STATUS:CONFIRMED
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