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Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA
Siddha Ganju

Siddha Ganju
Data Scientist, Deep Vision

Website | @SiddhaGanju

Siddha Ganju is a data scientist at Deep Vision, where she works on building deep learning models and software for embedded devices. Siddha is interested in problems that connect natural languages and computer vision using deep learning. 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 like CVPR. She is a frequent speaker at conferences and advises the Data Lab at NASA. Siddha holds a master’s degree in computational data science from Carnegie Mellon University, where she worked on multimodal deep learning-based question answering. When she’s not working, you might catch her hiking.

Sessions

1:45pm–2:25pm Tuesday, September 19, 2017
Implementing AI
Location: Yosemite A Level: Beginner
Secondary topics:  Deep learning, IoT (including smart cities, manufacturing, smart homes/buildings)
Siddha Ganju (Deep Vision)
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.