Siddha is a self-driving architect at NVIDIA and she also guides teams at NASA as an AI domain expert. She was featured on the Forbes 30 under 30 list in 2019.
Previously, she developed deep learning models for resource-constrained edge devices at DeepVision. She earned her Master's 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.
About the Host:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
***Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.***
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Best resources to remain updated to Machine Learning Research | Siddha Ganju, @NVIDIA
Nov 05, 2020

Machine Learning Podcast - Jay Shah
Talks with young engineers working in Machine Learning and AI research on how to get started and breakthrough it.
Talks with young engineers working in Machine Learning and AI research on how to get started and breakthrough it.Listen on
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