We hope you’re taking some time to relax over the holidays and want to make sure you have plenty of content for when you’re in the mood for a technical binge!
December is always slammed with end-of-year events, and this year is no different. We’ve covered some of the month’s events and innovations in our three series this month: NeurIPS, re:Invent, and AI Rewind!
As always, AWS packed a ton of innovations and announcements into this year’s re:Invent conference. This year, we caught up with none other than Swami Sivasubramanian, VP of AI at AWS, for a re:Invent Roundup to discuss them all. One new offering this year is Amazon SageMaker Feature Store. It turns out that the new service is modeled after the feature store developed by Intuit. In the second episode in this series we speak with Srivathsan Canchi, head of engineering for the Machine Learning Platform team at Intuit, to dig into the details and backstory. This series also concludes a chat with Edgar Bahilo Rodriguez of Siemens Energy who joins us to talk about Productionalizing Time-Series Workloads, a topic he touched on in his re:Invent talk.
As always, this year’s NeurIPS conference featured a ton of great innovation on the research front, and once again we bring those researchers to you with our NeurIPS series. This time around, we spoke with Taco Cohen, ML Researcher at Qualcomm to discuss his work and NeurIPS talk on Natural Graph Networks and video compression using generative models. Another 🔥 conversation in that series is with Charles Isbell, AI researcher and Dean of Engineering at Georgia Tech, who joins us to dive into ML as a Software Engineering Enterprise, the topic of his invited NeurIPS talk exploring the need for a systems approach to tackling big issues in ML like bias. Finally, Aravind Rajeswaran, PhD student at the University of Washington, joins us to talk about his paper, MOReL: Model-Based Offline Reinforcement Learning.
Now in its third year, TWIML’s AI Rewind series has become a perennial crowd favorite. The series brings back friends of the show to discuss and explore the year’s most important trends in key topical areas like Machine Learning/Deep Learning, Computer Vision, Natural Language Processing, and Reinforcement Learning. For each topic we discuss important research and commercial developments of the year and predictions for the year ahead.
We just kicked off the AI Rewind series today! Our first episode features my conversation with Pablo Samuel Castro exploring Trends in Reinforcement Learning. Stay tuned for more great shows in this series!
We wish you lots of binge-worthy content this holiday season and we’ll see you in the new year!