diff --git a/sitedata/speakers.yml b/sitedata/speakers.yml index 6d0cf735d..f5cdd7df1 100644 --- a/sitedata/speakers.yml +++ b/sitedata/speakers.yml @@ -91,7 +91,7 @@ Some of the aspects of the world around us are captured in natural language and I will propose that the future of self-supervised representation learning lies in regularized latent-variable energy-based models. " bio: "Yoshua Bengio is recognized as one of the world’s artificial intelligence leaders and a pioneer of deep learning. Professor since 1993 at the Université de Montréal, he received the A.M. Turing Award 2018, considered like the Nobel prize for computing, with Geoff Hinton and Yann LeCun. Holder of the Canada Research Chair in Statistical Learning Algorithms, he is also the founder and scientific director of Mila, the Quebec Institute of AI–the world’s biggest university-based research group in deep learning. In 2018, he collected the largest number of new citations in the world for a computer scientist and earned the prestigious Killam Prize from the Canada Council for the Arts. Concerned about the social impact of AI, he actively contributed to the Montreal Declaration for the Responsible Development of Artificial Intelligence. - +

Yann LeCun is VP and Chief AI Scientist at Facebook and Silver Professor at NYU affiliated with the Courant Institute and the Center for Data Science. He was the founding Director of Facebook AI Research and of the NYU Center for Data Science. He received an EE Diploma from ESIEE (Paris) in 1983, a PhD in Computer Science from Université Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU in 2003 after a short tenure at the NEC Research Institute. In late 2013, LeCun became Director of AI Research at Facebook, while remaining on the NYU Faculty part-time. He was visiting professor at Collège de France in 2016. His research interests include machine learning and artificial intelligence, with applications to computer vision, natural language understanding, robotics, and computational neuroscience. He is best known for his work in deep learning and the invention of the convolutional network method which is widely used for image, video and speech recognition. He is a member of the US National Academy of Engineering, a Chevalier de la Légion d’Honneur, a fellow of AAAI, the recipient of the 2014 IEEE Neural Network Pioneer Award, the 2015 IEEE Pattern Analysis and Machine Intelligence Distinguished Researcher Award, the 2016 Lovie Award for Lifetime Achievement, the University of Pennsylvania Pender Award, and honorary doctorates from IPN, Mexico and EPFL. He is the recipient of the 2018 ACM Turing Award (with Geoffrey Hinton and Yoshua Bengio) for “conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.” " - speaker: Prof. Michael I. Jordan diff --git a/templates/pages/speaker.html b/templates/pages/speaker.html index efdde16d1..e16bd75be 100644 --- a/templates/pages/speaker.html +++ b/templates/pages/speaker.html @@ -45,7 +45,7 @@

{{info.abstract|safe}}

Bio: - {{info.bio}} + {{info.bio|safe}}

@@ -63,6 +63,7 @@

presentationId: '{{info.slides_link}}', autoPlay: false, // change to true to autoplay the embedded presentation verticalEnabled: true, + zoomRatio: 1, verticalWhenWidthLte: 2000, allowHiddenControlsWhenPaused: true, hideTitle: true @@ -99,6 +100,7 @@

presentationId: '{{info.qa_link}}', autoPlay: false, // change to true to autoplay the embedded presentation verticalEnabled: true, + zoomRatio: 1, allowHiddenControlsWhenPaused: true, hideTitle: true