BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20260914T113346EDT-2152uaeMUf@132.216.98.100
DTSTAMP:20260914T153346Z
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	\n	BIO Clement Farabet is VP of AI Infrastructure at NVIDIA. Hi
 s team is responsible for building NVIDIA's next-generation AI platform\, 
 leveraging NVIDIA's hardware to enable a broad range of new applications\,
  ranging from self-driving cars to medical imaging. Clement Farabet receiv
 ed a Master’s Degree in Electrical Engineering with honors from Institut N
 ational des Sciences Appliquées (INSA) de Lyon\, France in 2008. His Maste
 r’s thesis work on reconfigurable hardware for deep neural networks was de
 veloped at the Courant Institute of Mathematical Sciences of New York Univ
 ersity with Professor Yann LeCun\, and led to a patent. He then joined Pro
 fessor Yann LeCun’s laboratory in 2008\, as a research scientist. In 2009\
 , he started collaborating with Yale University’s e-Lab\, led by Professor
  Eugenio Culurciello. This joint work later led to the creation of TeraDee
 p (www.teradeep.com). In 2010\, he started the PhD program at Université P
 aris-Est\, co-advised by Professors Laurent Najman and Yann LeCun. His the
 sis focused on real-time image understanding/parsing with deep convolution
 al networks. The main contributions of his thesis were multi-scale convolu
 tional networks and graph-based techniques for efficient segmentations of 
 class prediction maps. He graduated in 2013\, and went on to cofound Madbi
 ts\, a company that focused on representing\, understanding and connecting
  images. Madbits was acquired by Twitter in 2014. At Twitter\, he cofounde
 d Cortex\, a team of software engineers\, data scientists\, and research s
 cientists dedicated to developing state-of-the-art machine learning capabi
 lities to refine and enable new products. He subsequently lead and managed
  a team called Cortex Core\, which focused on building a high-leverage mod
 ular machine/deep learning platform to power every aspect of the Twitter p
 roduct (recommendation systems\, search\, timeline ranking\, etc.). This t
 eam focused on (1) developing models of text\, images\, video\, users\, an
 d (2) making these models seamlessly importable as components of user-faci
 ng 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/mathstat/channels/event/clement-farabet-vp-ai-inf
 rastructure-nvidia-272975
END:VEVENT
END:VCALENDAR