Reinforcement Learning, Intelligent vehicles & Acquiring Data, with Praveen Palanisamy - AI Engineer Microsoft AI + Research, E15

AI is here to solve real world and serious problems. In this episode we explore reinforcement learning applied to the automotive industry. We focus on autonomous systems and do a deep dive into data, challenges, methods to evaluate robustness of a solution, deploying into the real world and the role of simulators in training agents in this space. We're joined by Praveen Palanisamy, Senior AI Engineer in Autonomous Systems with Microsoft AI + Research. Praveen is working on developing the core end-to-end platform and services for real-world AI applications using Simulation, Reinforcement Learning and Machine Teaching. Prior to that, Praveen was an Autonomous Driving AI Researcher at General Motors R&D in Michigan, and he was also with the Robotics Institute, Carnegie Mellon University, where he worked on Autonomous Navigation, Perception and Artificial Intelligence Read more about Praveen's contributions in this space: https://praveenp.com/

Om Podcasten

- This podcast show is currently on a break. - Real AI talks with real people. Startup founders, startup engineers, AI community leaders, research scientists, innovation leaders, product builders, passionate AI practitioners - we talk to everyone! Grab a rounded perspective on how AI is used, tradeoffs for specific AI tools or methods, challenges in the space of AI technologies, and its future. New to AI concepts? Try the ‘Elements of AI’ 6-chapters course for an introduction to AI, and Building AI. It’s world #1 AI MOOC. And join some AI communities or other relevant AI-centered groups. Podcast available on all popular podcasting platforms or via assistants like Google, Alexa, or Siri.