We are very pleased to have Dr. Geoffrey Hinton present at TGRI Research Day 2016!

Deep learning and its applications
In the first part of the talk, I will explain how to learn the strengths of the connections in networks of simple processing units that bear some resemblance to neurons.  In the second part, I will describe some of the major recent successes of this approach for tasks as diverse as speech recognition, object classification, machine translation, and drug design. In the third part, I will speculate on some of the ways in which deep learning will soon transform medicine.

Bio  
Geoffrey Hinton received his BA in Experimental Psychology from Cambridge in 1970 and his PhD in Artificial Intelligence from Edinburgh in 1978.  He did postdoctoral work at the University of California San Diego and spent five years as a faculty member in Computer Science at Carnegie-Mellon. He then became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto. He spent three years from 1998 until 2001 setting up the Gatsby Computational Neuroscience Unit at University College London and then returned to the University of Toronto where he is a University Professor. In 2013, he became a Distinguished Researcher at Google and he now works part-time at the University of Toronto and part-time at Google.
 
He is a fellow of the Royal Society and the Royal Society of Canada.
He is an honorary foreign member of the National Academy of Engineering and the American Academy of Arts and Sciences. He was awarded the first David E. Rumelhart prize (2001), the IJCAI award for research excellence (2005), the IEEE Neural Network Pioneer award (1998), the ITAC/NSERC award for contributions to information technology (1992), the Killam prize for Engineering (2012), the IEEE James Clerk Maxwell Gold Medal for ground-breaking contributions with exceptional impact (2016) and the NSERC Herzberg Gold Medal (2010) which is Canada's top award in Science and Engineering.
 
Geoffrey Hinton designs machine learning algorithms. He was one of the researchers who introduced the back-propagation algorithm that has been widely used for practical applications. In 2005 he published the first paper on deep belief nets which initiated a resurgence of interest in neural networks. His students then made seminal advances in the application of deep neural networks to speech recognition, object classification, and drug design.
 
 

ABSTRACT SUBMISSION IS CLOSED.

Abstract submissions are due by September 2^nd, 2016.  No late submissions will be accepted.
If you wish to submit a first-authored abstract for the poster presentation, please note that abstract submission and registration are part of the same process.  Please register only if your abstract is also ready for submission.

All posters submitted will be published in the Research Day booklet.  New this year, poster participants will be selected and front runners will be announced by TGRI leadership prior to Research Day.  TGRI directorate will notify you by September 11^th, 2016 if your abstract has been accepted and if you have been selected to give a brief presentation of your poster on Research Day for the final round of judging. 

Poster Details:  Maximum size (height x length): 3' x 6' (36" x 72") (1m x 2m)
 

Submission Instructions:

Abstract Authors:  Please type in all names using the first initial followed by the author's last name. A comma should separate author names. The final name should be followed by a period.
For example: SR Wilson, MK O'Reilly, JP Leduc, and BA Bell.

Affiliations:  Please type in all affiliations.  A comma should separate each affiliation.  The final affiliation should be followed by a period. 
For example:  Toronto General Research Institute, Toronto, ON and University of Toronto, Toronto, ON.

Abstract:  Abstracts are limited to 2000 characters with spaces.  Proofread your abstract for accuracy.
Poster space is limited; only one first-authored abstract per registrant may be submitted.

Abstracts will be accepted from undergraduate students, MSc students, PhD students, and postdoctoral fellows. You must be the presenting author and first author in order to be judged in the poster competition. 
 

Research Day will be held at the the Royal Ontario Museum, 100 Queen's Park, Toronto, ON, M5S 2C6, at Museum station.  The venue is approximately a 20 minute walk from TGH.

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Research Day comments and inquiries:
Alena Siarheyeva at alena.siarheyeva@uhnresearch.ca
 

Thursday, October 6^th, 2016
 
Agenda: