Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA
Jason Knight

Jason Knight
Senior Technology Officer, Intel

Jason Knight is senior technology officer at Intel, where he advances what is possible with machine learning using Intel Nervana. Jason holds a PhD in computational biology. His research included developing hierarchical Bayesian statistical models for classification of cancer tumor expression data and high-performance Markov chain Monte Carlo techniques to discover gene regulatory networks in this data using Bayesian networks. He then applied these techniques on the world’s largest database of human genomes at Human Longevity Inc.

Sessions

4:50pm–5:30pm Tuesday, September 19, 2017
Location: Franciscan CD
Jason Knight (Intel)
Average rating: ****.
(4.00, 3 ratings)
With the chaotic and rapidly evolving landscape around deep learning, we need deep learning-specific compilers to enable maximum performance in a wide variety of use cases on a wide variety of hardware platforms. Jason Knight offers an overview of the Intel Nervana Graph project, which was designed to solve this problem. Read more.
11:55am–12:35pm Wednesday, September 20, 2017
Location: Table 1
Jason Knight (Intel)
Jason will be on hand to discuss things like how hardware independent intermediate representations (IRs) can enable the deep learning software and hardware ecosystems to thrive and DL infrastructure in our containerized microservice futures. Read more.