Using Deep Reinforcement Learning for System Optimization & more | Dr. Azalia Mirhoseini, Google
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Using Deep Reinforcement Learning for System Optimization & more | Dr. Azalia Mirhoseini, Google
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Azalia is a Research scientist at the Google Brain team, where she leads machine learning for systems moonshot projects. Her research interests include and not limited to exploring deep reinforcement learning for optimizing computer systems. She has a Ph.D. in Electrical and Computer Engineering from Rice University and has received many awards for her contributions including the MIT Technology Review 35 under 35.
About the Host:
Jay is a Ph.D. student at Arizona State University, doing research on building Interpretable AI models for Medical Diagnosis.
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.***
Checkout these Podcasts on YouTube: https://www.youtube.com/c/JayShahml
About the author: https://www.public.asu.edu/~jgshah1/