))
Ramansh Sharma on Astrodynamics and AI | Debugged Episode #11
Manage episode 325278548 series 3288524
Content provided by Congressional App Challenge. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Congressional App Challenge or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In this episode of Debugged, Medha Gupta talks to Ramansh Sharma, an undergraduate researcher at the Approximate Bayesian Inference Team at RIKEN and a member of Conex Research. Sharma discusses his experience developing AI-For-Good research projects and the different use-cases of AI research in STEM. Sharma gives advice on the best courses to learn machine and deep learning as well as organizations that can facilitate people’s interests in AI conferences and events. Furthermore, Sharma discusses his interest in astrodynamics and how his specialization in AI has assisted his work in changing the landscape of space exploration. Look for his soon to be published research! With an all new Pop Culture Byte with host Michael Batavia, you won’t want to miss episode 11 of the Debugged podcast.
40 episodes
Share
