Next week, we have a flurry of tea talks and it all starts with VP of AI infrastructure at NVIDIA, *Clement Farabet* on *Monday October 9th *at *2pm* at *Pavilion Claire McNicoll room Z-209*.
There will be a *small social *after the event so you can talk directly with NVIDIA researchers! NVIDIA has also been incredibly kind and will bring *FREE FOOD* as well as hold a *RAFFLE!* I don't know what the raffle is for, but will leave it your imagination ;)
This is an awesome event, and hope everyone can make it! If you plan to attend, please sign up on their eventbrite link: https://www.eventbrite.com/e/mila-tea-talk-tickets-38158869205
*KEYWORDS *Infrastructure, Self-driving Cars, Domain Transfer
*TITLE*
Deep Learning Research at NVIDIA
*ABSTRACT*
NVIDIA is the leading platform for Deep Learning research and invests in a broad range of research projects 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 synthetic data to reduce our need on data; ray-tracing for real-time virtual worlds; auto face animation for game designers; and auto image transforms 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.
*BIO*
Clement Farabet is VP of AI Infrastructure at NVIDIA. His 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 received a Master’s Degree in Electrical Engineering with honors from Institut National des Sciences Appliquées (INSA) de Lyon, France in 2008. His Master’s thesis work on reconfigurable hardware for deep neural networks was developed at the Courant Institute of Mathematical Sciences of New York University with Professor Yann LeCun, and led to a patent. He then joined Professor 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 TeraDeep ( www.teradeep.com). In 2010, he started the PhD program at Université Paris-Est, co-advised by Professors Laurent Najman and Yann LeCun. His thesis focused on real-time image understanding/parsing with deep convolutional networks. The main contributions of his thesis were multi-scale convolutional networks and graph-based techniques for efficient segmentations of class prediction maps. He graduated in 2013, and went on to cofound Madbits, a company that focused on representing, understanding and connecting images. Madbits was acquired by Twitter in 2014. At Twitter, he cofounded Cortex, a team of software engineers, data scientists, and research scientists dedicated to developing state-of-the-art machine learning capabilities to refine and enable new products. He subsequently lead and managed a team called Cortex Core, which focused on building a high-leverage modular machine/deep learning platform to power every aspect of the Twitter product (recommendation systems, search, timeline ranking, etc.). This team focused on (1) developing models of text, images, video, users, and (2) making these models seamlessly importable as components of user-facing ML systems.
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*Update*: NVIDIA said they're raffling off a Titan Xp!
*Also note:* I realize that this Monday is also thanksgiving and due to scheduling, I can't change the tea talk. I'm sorry to anyone whose weekend plans are being interrupted, that's my bad. I'll make sure not to schedule any other tea talks on holidays.
Finally a *reminder:* if you do plan to attend, please sign up on the eventbrite link: https://www.eventbrite.com/e/mila-tea-talk-tickets-38158869205
Thanks, Michael
On Tue, Oct 3, 2017 at 2:01 PM Michael Noukhovitch mnoukhov@gmail.com wrote:
Next week, we have a flurry of tea talks and it all starts with VP of AI infrastructure at NVIDIA, *Clement Farabet* on *Monday October 9th *at *2pm* at *Pavilion Claire McNicoll room Z-209*.
There will be a *small social *after the event so you can talk directly with NVIDIA researchers! NVIDIA has also been incredibly kind and will bring *FREE FOOD* as well as hold a *RAFFLE!* I don't know what the raffle is for, but will leave it your imagination ;)
This is an awesome event, and hope everyone can make it! If you plan to attend, please sign up on their eventbrite link: https://www.eventbrite.com/e/mila-tea-talk-tickets-38158869205
*KEYWORDS *Infrastructure, Self-driving Cars, Domain Transfer
*TITLE*
Deep Learning Research at NVIDIA
*ABSTRACT*
NVIDIA is the leading platform for Deep Learning research and invests in a broad range of research projects 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 synthetic data to reduce our need on data; ray-tracing for real-time virtual worlds; auto face animation for game designers; and auto image transforms 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.
*BIO*
Clement Farabet is VP of AI Infrastructure at NVIDIA. His 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 received a Master’s Degree in Electrical Engineering with honors from Institut National des Sciences Appliquées (INSA) de Lyon, France in 2008. His Master’s thesis work on reconfigurable hardware for deep neural networks was developed at the Courant Institute of Mathematical Sciences of New York University with Professor Yann LeCun, and led to a patent. He then joined Professor 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 TeraDeep (www.teradeep.com). In 2010, he started the PhD program at Université Paris-Est, co-advised by Professors Laurent Najman and Yann LeCun. His thesis focused on real-time image understanding/parsing with deep convolutional networks. The main contributions of his thesis were multi-scale convolutional networks and graph-based techniques for efficient segmentations of class prediction maps. He graduated in 2013, and went on to cofound Madbits, a company that focused on representing, understanding and connecting images. Madbits was acquired by Twitter in 2014. At Twitter, he cofounded Cortex, a team of software engineers, data scientists, and research scientists dedicated to developing state-of-the-art machine learning capabilities to refine and enable new products. He subsequently lead and managed a team called Cortex Core, which focused on building a high-leverage modular machine/deep learning platform to power every aspect of the Twitter product (recommendation systems, search, timeline ranking, etc.). This team focused on (1) developing models of text, images, video, users, and (2) making these models seamlessly importable as components of user-facing ML systems.
TEA TALK in an HOUR!
On Fri, Oct 6, 2017, 13:00 Michael Noukhovitch mnoukhov@gmail.com wrote:
*Update*: NVIDIA said they're raffling off a Titan Xp!
*Also note:* I realize that this Monday is also thanksgiving and due to scheduling, I can't change the tea talk. I'm sorry to anyone whose weekend plans are being interrupted, that's my bad. I'll make sure not to schedule any other tea talks on holidays.
Finally a *reminder:* if you do plan to attend, please sign up on the eventbrite link: https://www.eventbrite.com/e/mila-tea-talk-tickets-38158869205
Thanks, Michael
On Tue, Oct 3, 2017 at 2:01 PM Michael Noukhovitch mnoukhov@gmail.com wrote:
Next week, we have a flurry of tea talks and it all starts with VP of AI infrastructure at NVIDIA, *Clement Farabet* on *Monday October 9th *at *2pm* at *Pavilion Claire McNicoll room Z-209*.
There will be a *small social *after the event so you can talk directly with NVIDIA researchers! NVIDIA has also been incredibly kind and will bring *FREE FOOD* as well as hold a *RAFFLE!* I don't know what the raffle is for, but will leave it your imagination ;)
This is an awesome event, and hope everyone can make it! If you plan to attend, please sign up on their eventbrite link: https://www.eventbrite.com/e/mila-tea-talk-tickets-38158869205
*KEYWORDS *Infrastructure, Self-driving Cars, Domain Transfer
*TITLE*
Deep Learning Research at NVIDIA
*ABSTRACT*
NVIDIA is the leading platform for Deep Learning research and invests in a broad range of research projects 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 synthetic data to reduce our need on data; ray-tracing for real-time virtual worlds; auto face animation for game designers; and auto image transforms 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.
*BIO*
Clement Farabet is VP of AI Infrastructure at NVIDIA. His 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 received a Master’s Degree in Electrical Engineering with honors from Institut National des Sciences Appliquées (INSA) de Lyon, France in 2008. His Master’s thesis work on reconfigurable hardware for deep neural networks was developed at the Courant Institute of Mathematical Sciences of New York University with Professor Yann LeCun, and led to a patent. He then joined Professor 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 TeraDeep (www.teradeep.com). In 2010, he started the PhD program at Université Paris-Est, co-advised by Professors Laurent Najman and Yann LeCun. His thesis focused on real-time image understanding/parsing with deep convolutional networks. The main contributions of his thesis were multi-scale convolutional networks and graph-based techniques for efficient segmentations of class prediction maps. He graduated in 2013, and went on to cofound Madbits, a company that focused on representing, understanding and connecting images. Madbits was acquired by Twitter in 2014. At Twitter, he cofounded Cortex, a team of software engineers, data scientists, and research scientists dedicated to developing state-of-the-art machine learning capabilities to refine and enable new products. He subsequently lead and managed a team called Cortex Core, which focused on building a high-leverage modular machine/deep learning platform to power every aspect of the Twitter product (recommendation systems, search, timeline ranking, etc.). This team focused on (1) developing models of text, images, video, users, and (2) making these models seamlessly importable as components of user-facing ML systems.
Tea Talk in 15!
See attached ;)
On Mon, Oct 9, 2017, 13:08 Michael Noukhovitch mnoukhov@gmail.com wrote:
TEA TALK in an HOUR!
On Fri, Oct 6, 2017, 13:00 Michael Noukhovitch mnoukhov@gmail.com wrote:
*Update*: NVIDIA said they're raffling off a Titan Xp!
*Also note:* I realize that this Monday is also thanksgiving and due to scheduling, I can't change the tea talk. I'm sorry to anyone whose weekend plans are being interrupted, that's my bad. I'll make sure not to schedule any other tea talks on holidays.
Finally a *reminder:* if you do plan to attend, please sign up on the eventbrite link: https://www.eventbrite.com/e/mila-tea-talk-tickets-38158869205
Thanks, Michael
On Tue, Oct 3, 2017 at 2:01 PM Michael Noukhovitch mnoukhov@gmail.com wrote:
Next week, we have a flurry of tea talks and it all starts with VP of AI infrastructure at NVIDIA, *Clement Farabet* on *Monday October 9th *at *2pm* at *Pavilion Claire McNicoll room Z-209*.
There will be a *small social *after the event so you can talk directly with NVIDIA researchers! NVIDIA has also been incredibly kind and will bring *FREE FOOD* as well as hold a *RAFFLE!* I don't know what the raffle is for, but will leave it your imagination ;)
This is an awesome event, and hope everyone can make it! If you plan to attend, please sign up on their eventbrite link: https://www.eventbrite.com/e/mila-tea-talk-tickets-38158869205
*KEYWORDS *Infrastructure, Self-driving Cars, Domain Transfer
*TITLE*
Deep Learning Research at NVIDIA
*ABSTRACT*
NVIDIA is the leading platform for Deep Learning research and invests in a broad range of research projects 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 synthetic data to reduce our need on data; ray-tracing for real-time virtual worlds; auto face animation for game designers; and auto image transforms 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.
*BIO*
Clement Farabet is VP of AI Infrastructure at NVIDIA. His 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 received a Master’s Degree in Electrical Engineering with honors from Institut National des Sciences Appliquées (INSA) de Lyon, France in 2008. His Master’s thesis work on reconfigurable hardware for deep neural networks was developed at the Courant Institute of Mathematical Sciences of New York University with Professor Yann LeCun, and led to a patent. He then joined Professor 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 TeraDeep (www.teradeep.com). In 2010, he started the PhD program at Université Paris-Est, co-advised by Professors Laurent Najman and Yann LeCun. His thesis focused on real-time image understanding/parsing with deep convolutional networks. The main contributions of his thesis were multi-scale convolutional networks and graph-based techniques for efficient segmentations of class prediction maps. He graduated in 2013, and went on to cofound Madbits, a company that focused on representing, understanding and connecting images. Madbits was acquired by Twitter in 2014. At Twitter, he cofounded Cortex, a team of software engineers, data scientists, and research scientists dedicated to developing state-of-the-art machine learning capabilities to refine and enable new products. He subsequently lead and managed a team called Cortex Core, which focused on building a high-leverage modular machine/deep learning platform to power every aspect of the Twitter product (recommendation systems, search, timeline ranking, etc.). This team focused on (1) developing models of text, images, video, users, and (2) making these models seamlessly importable as components of user-facing ML systems.
lisa_seminaires@iro.umontreal.ca
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Michael Noukhovitch