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DESCRIPTION:Deep Learning Research at NVIDIA\n\nNVIDIA is the leading platf
 orm for Deep Learning research and invests in a broad range of research pr
 ojects within key industries\, such as graphics and self-driving cars. In 
 this talk I will discuss a few of our projects in-depth: from leveraging s
 ynthetic data to reduce our need on data\; ray-tracing for real-time virtu
 al worlds\; auto face animation for game designers\; and auto image transf
 orms for photo editing. I will also talk about how we apply this research 
 work into a product and operate a fast-moving R&D team to build autonomous
  vehicles.\n	BIO Clement Farabet is VP of AI Infrastructure at NVIDIA. His 
 team is responsible for building NVIDIA's next-generation AI platform\, le
 veraging NVIDIA's hardware to enable a broad range of new applications\, r
 anging from self-driving cars to medical imaging. Clement Farabet received
  a Master’s Degree in Electrical Engineering with honors from Institut Nat
 ional des Sciences Appliquées (INSA) de Lyon\, France in 2008. His Master’
 s thesis work on reconfigurable hardware for deep neural networks was deve
 loped at the Courant Institute of Mathematical Sciences of New York Univer
 sity with Professor Yann LeCun\, and led to a patent. He then joined Profe
 ssor Yann LeCun’s laboratory in 2008\, as a research scientist. In 2009\, 
 he started collaborating with Yale University’s e-Lab\, led by Professor E
 ugenio Culurciello. This joint work later led to the creation of TeraDeep 
 (www.teradeep.com). In 2010\, he started the PhD program at Université Par
 is-Est\, co-advised by Professors Laurent Najman and Yann LeCun. His thesi
 s focused on real-time image understanding/parsing with deep convolutional
  networks. The main contributions of his thesis were multi-scale convoluti
 onal networks and graph-based techniques for efficient segmentations of cl
 ass prediction maps. He graduated in 2013\, and went on to cofound Madbits
 \, a company that focused on representing\, understanding and connecting i
 mages. Madbits was acquired by Twitter in 2014. At Twitter\, he cofounded 
 Cortex\, a team of software engineers\, data scientists\, and research sci
 entists dedicated to developing state-of-the-art machine learning capabili
 ties to refine and enable new products. He subsequently lead and managed a
  team called Cortex Core\, which focused on building a high-leverage modul
 ar machine/deep learning platform to power every aspect of the Twitter pro
 duct (recommendation systems\, search\, timeline ranking\, etc.). This tea
 m focused on (1) developing models of text\, images\, video\, users\, and 
 (2) making these models seamlessly importable as components of user-facing
  ML systems.\n
DTSTART:20171009T180000Z
DTEND:20171009T190000Z
LOCATION:Z-209\, CA\, UdeM\, Pavillon Claire McNicoll
SUMMARY:Clement Farabet\, VP of AI infrastructure at NVIDIA
URL:https://www.mcgill.ca/channels/channels/event/clement-farabet-vp-ai-inf
 rastructure-nvidia-272975
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