Our third guest in the Industrial AI series is Chelsea Finn, PhD student at UC Berkeley. Despite being early in her career, Chelsea is an accomplished researcher with more than 14 published papers in the past 2 years, on subjects like Deep Visual Foresight , Model-Agnostic Meta-Learning and Visuomotor Learning to name a few. We discuss all of these topics in the show, as well as subjects like zero-shot, one-shot and few-shot learning.
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Chelsea also gives some advice to all PhD students out there just like herself. We spend some time at the end of the interview talking about this, and she has some great words of wisdom for current and prospective PhD students but also independent learners in the field.
Chelsea and I really dig deep into these learning methods and techniques, and this conversation gets pretty technical at times, to the point that I had a tough time keeping up myself, so hang in there. I promise that you’ll learn a ton if you keep with it.
About the Industrial AI Series
This show is part of our Industrial AI series. I’ve mentioned my interest in industrial applications of machine learning & AI a few times on the podcast. I’ve been doing some research in the area, and I’m very close to publishing a special report on the topic. If you’re interested in learning more about this project, the report, or the podcast series as a whole, check out our Industrial AI page.
Thanks to Our Sponsor
A big thank you to Bonsai, who is supporting my work in this area. I’ve been following them since their launch just over a year ago, and I’ve been impressed with their team and technology. If you’re building AI-powered applications to optimize and control enterprise systems, check them out at bons.ai. Please let them know you appreciate their support of the podcast.
Next week I’m at the O’Reilly AI conference in New York City. You can still register using our discount code PCTWIML for 20% off. If you live in New York or will be at the event, let’s plan to meet up! I’m partnering with the NY AI meetup to host a happy hour on Thursday evening after the event. If you’d like more details please sign up using the form at twimlai.com/nymeetup.