The show you’re about to hear is part of a series of shows recorded in San Francisco at the Artificial Intelligence Conference. In this episode, I talk with Ion Stoica, professor of computer science & director of the RISE Lab at UC Berkeley. Ion joined us after he gave his talk “Building reinforcement learning applications with Ray.”
Subscribe: iTunes / Google Play / Spotify / RSS
We dive into Ray, a new distributed computing platform for RL, as well as RL generally, along with some of the other interesting projects RISE Lab is working on, like Clipper & Tegra. This was a pretty interesting talk. Enjoy!
TWiML Online Meetup
The details for the upcoming TWiML Online Meetup have been set!! On Oct 18 at 3pm PT, We will discuss the paper Visual Attribute Transfer through Deep Image Analogy, by Jing Liao and others from Microsoft Research. The discussion will be led by Duncan Stothers. (Thanks Duncan!) For anyone who’s has missed the last two meetups, or for those that haven’t yet joined the group, please visit twimlai.com/meetup. There you’ll find Video Recaps of the last 2 meetups, along with a link to the paper we’ll be reviewing next month. If you’d like to present your favorite paper, we’d love to have you do it. Just shoot us an email at firstname.lastname@example.org to get the ball rolling.
Thanks to our Sponsor
A big thank you to Intel Nervana for their continued support of the podcast! At the AI Conference, Intel Nervana announced the DevCloud, a cloud-hosted hardware and software platform for learning, sandboxing and accelerating the development of AI solutions. The Intel Nervana DevCloud will be available to 200,000 developers, researchers, academics and startups via the Intel Nervana AI Academy this month. For more information on the DevCloud or the AI Academy, visit intelnervana.com/devcloud. Be sure to let them know via Twitter @IntelNervana how much you appreciate their support of the podcast.