IEEE Windsor Section

IEEE

Technical Meeting

Oakland University school of Engineering and Computer Science and IEEE Computer Society South East Michigan Chapter jointly presents:

NVIDIA GPU ‘s A Transition from Gaming to Autonomous Vehicle and Cancer Research

About the Topic: In the world of big data, machine learning, artificial intelligence, vision, etc., the power of GPUs is viewed by all as being the prime driver and very central to making the GPU architecture both ubiquitous and very pervasive. The talk will trace this transition from Artificial Intelligence to Machine Learning to Deep Learning and Neural Networks. NVIDIA will introduce to us in great detail all about Deep Learning (DL) and Deep Neural Networks and all the associated fundamentals.

Speaker: Ty McKercher, Director of Architecture & Engineering  at NVIDIA

Speaker Bio: Over the last 9 Years, Ty has integrated NVIDIA technologies to help transform customer workflows. Ty enjoys solving challenging customer problems that intersect HPC, Visualization, and Virtualization. Lately, he is helping customers’ measure value from emerging technology evaluations in the field of Artificial Intelligence using Deep Neural Networks.

Date: 15th March 2017

Time: 6 PM to 7:30PM EST/EDT

Location: Room 116, Engineering Center, Oakland University, Rochester MI 48309-4479

Seats are Limited.

Click Here to Register

For more details please contact:

sharan.kalwani@ieee.org

Phone: +1 (248) 980-UNIX
OR
ganesan@oakland.edu
Phone: +1 (248) 635-5890

For more details please check flyer below:

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