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
Siddha Ganju

Siddha Ganju
Solution Architect, NVIDIA

Website | @SiddhaGanju

Siddha Ganju is a self-driving architect at NVIDIA. She was featured on the Forbes 30 under 30 list, and she guides teams at NASA as an AI domain expert and is a featured jury member in several informational tech competitions. Previously, she developed deep learning models for resource-constrained edge devices at DeepVision. She earned her degree from Carnegie Mellon University, and her work ranges from visual question answering to generative adversarial networks to gathering insights from CERN’s petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS.


1:45pm–2:25pm Tuesday, September 19, 2017
Implementing AI
Location: Yosemite A
Secondary topics:  Deep learning, IoT (including smart cities, manufacturing, smart homes/buildings)
Siddha Ganju (NVIDIA)
Average rating: ***..
(3.33, 3 ratings)
Deep learning is necessary to bring intelligence and autonomy to the edge. Siddha Ganju offers an overview of Deep Vision's solution, which optimizes both the hardware and the software, and discusses the Deep Vision embedded processor, which is optimized for deep learning and computer vision and offers 50x higher performance per watt than existing embedded GPUs without sacrificing programmability. Read more.