Blog

SLIDE: The Algorithmic Alternative that Outperforms GPUs

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For more on the SLIDE algorithm check out the podcast that inspired this article—[TWIML AI Podcast #355 with Beidi Chen]. The conversation goes deeper into the team’s work on locality-sensitive hashing.   Graphics Processing Units (GPUs) have become the accepted industry standard for training deep learning models. While the raw compute power of GPUs has…

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Stabilizing Off-Policy Reinforcement Learning

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For more on the latest advancements in reinforcement learning, check out the podcast that inspired this article—[TWIML AI Podcast #355 with Sergey Levine]. In addition to discussing his team’s work on off-policy reinforcement learning, he also updates us on their efforts in model-based and causal RL. Typically, reinforcement learning involves an agent that interacts with…

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Managing Real-Life Data Science Projects with Metaflow – Democast #3

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Last November, Sam had the pleasure of sitting down for a conversation with Ville Tuulos, Manager of Machine Learning Infrastructure at Netflix. They spoke just hours after he announced the open-sourcing of their Python library, Metaflow. At the time, we’d planned to launch a new video series called TWIML Democasts as a way to walk…

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TWIML on TR’s Breakthrough Technologies

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TWIML takes a closer look at 10 “breakthrough technologies” as they relate to ML and AI, including drug development, cybersecurity, and more!

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AI Enterprise Workflow Study Group Recap

AI Enterprise Workflow Study Group Recap – Course 1

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Recently we kicked off a study group to work through the AI Enterprise Workflow sequence of courses created by IBM and on Coursera. Each of the courses in the six course series is two weeks long, and we just completed the second week of the first course. In this post we’ll recap some of the…

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TWIML Presents: Black in AI 2020

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We’re excited to share our third annual Black in AI series! When you’re done with this year’s series, make sure you check out the previous BAI series: Black in AI 2019 – Black in AI 2018 We’d love to hear your thoughts on this series, including anything we might have missed. Drop your thoughts, feedback…

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TWIML Presents: KubeCon ’19

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We’d love to hear your thoughts on this series, including anything we might have missed. Drop your thoughts, feedback or favorite papers via twitter @samcharrington, or via a comment below. TWIML Presents: KubeCon ’19 #343Scalable and Maintainable Workflows at Lyft with FlyteHaytham AbuelFutuh and Ketan Umare, Lyft TWIML Talk #344Managing Research Needs at the University…

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TWIML Presents: AI Rewind 2019

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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,…

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TWIML Presents: NeurIPS 2019

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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…

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TWIML Presents: re:Invent 2019

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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…

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