PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born
Today we’re joined by Jannis Born, Ph.D. student at ETH & IBM Research Zurich.
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On Saturday, February 2nd we’re launching our 3rd cohort of deep learning learners through the Fast.ai Practical Deep Learning for Coders Part 1 course. This study group will meet weekly on Saturdays at 9 am Pacific Time for seven weeks, each week covering a new lesson from the course. We love this course for its ability to have participants building world-class deep learning models right out of the gate, without getting bogged down in theory.
As is now customary around this time of year, we’ll be running back the clock with our second annual AI Rewind Series! Joined by a few friends of the show, we’ll be reviewing the papers, tools, use cases and other developments that made a splash in 2019 in key fields like Machine Learning, Deep Learning, […]
Thanks to our sponsor! Thanks to our friends at Shell for their support of the podcast and their sponsorship of the NeurIPS 2019 series. Shell has been an early adopter of a wide variety of AI technologies to support use cases across retail, trading, new energies, refineries, exploration, and many more, and is doing some […]
Thanks to our sponsor! I’d like to thank our friends at Capital One for sponsoring our re:Invent series. Capital One has been a huge friend and supporter of the podcast for some time now, and I’m looking forward to sharing my interview with Dave Castillo, Capital One’s Managing VP of Machine Learning with you on […]
Thanks to our sponsor! I’d like to thank Microsoft for their support of the show, and their sponsorship of this series. Thanks to decades of breakthrough research and technology, Microsoft is making AI real for businesses with Azure AI, a set of services that span vision, speech, language processing, custom machine learning, and more. Millions […]