Director of Engineering
CUDA Libraries and Software Solutions
Bio:
Jonathan Cohen is Director of Engineering for NVIDIA’s GPU-accelerated deep learning software platform. Before moving to the product side of NVIDIA, Mr. Cohen spent three years as a senior research scientist with NVIDIA Research developing scientific computing and real-time physical simulation applications on NVIDIA's massively parallel GPUs.
Prior to joining NVIDIA, Mr. Cohen worked in the Hollywood feature film visual effects industry, where he developed software for films including "The Cat in the Hat" and "The Chronicles of Narnia: The Lion, the Witch and the Wardrobe." He led development of the sand simulation and rendering system for "Spider-Man 3" as a Computer Graphics Supervisor at Sony Pictures Imageworks.
Mr. Cohen was awarded an Academy Award (Technical Achievement Award) in 2007 from the Academy of Motion Pictures Arts and Sciences for his work on fluid simulation and volumetric modeling for visual effects. He received an undergraduate degree from Brown in Mathematics and Computer Science.
Title:
Deep learning with NVIDIA GPUs
Abstract:
NVIDIA GPUs are powering a revolution in machine learning. With the rise of deep learning algorithms, in particular deep convolutional neural networks, computers are learning to see, hear, and understand the world around us in ways never before possible. Image recognition and detection systems are getting close to and in some cases surpassing human-level performance. I will talk about deep learning in the context of several new NVIDIA initiatives ranging from hardware platforms, software tools and libraries, and our recently announced DRIVE PX module for autonomous driving.