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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning, computer science, data science and more.

info_outline Consciousness and COVID-19 with Yoshua Bengio - #361 03/30/2020
info_outline Geometry-Aware Neural Rendering with Josh Tobin - #360 03/26/2020
info_outline The Third Wave of Robotic Learning with Ken Goldberg - #359 03/23/2020
info_outline Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358 03/18/2020
info_outline Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357 03/16/2020
info_outline SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen - #356 03/12/2020
info_outline Advancements in Machine Learning with Sergey Levine - #355 03/09/2020
info_outline Secrets of a Kaggle Grandmaster with David Odaibo - #354 03/05/2020
info_outline NLP for Mapping Physics Research with Matteo Chinazzi - #353 03/02/2020
info_outline Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352 02/27/2020
info_outline High-Dimensional Robust Statistics with Ilias Diakonikolas - #351 02/24/2020
info_outline How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350 02/19/2020
info_outline Turning Ideas into ML Powered Products with Emmanuel Ameisen - #349 02/17/2020
info_outline Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348 02/13/2020
info_outline AI for Agriculture and Global Food Security with Nemo Semret - #347 02/10/2020
info_outline Practical Differential Privacy at LinkedIn with Ryan Rogers - #346 02/07/2020
info_outline Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345 02/05/2020
info_outline Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344 02/03/2020
info_outline Scalable and Maintainable Workflows at Lyft with Flyte w/ Haytham AbuelFutuh and Ketan Umare - #343 01/30/2020
info_outline Causality 101 with Robert Osazuwa Ness - #342 01/27/2020
info_outline PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341 01/23/2020
info_outline Social Intelligence with Blaise Aguera y Arcas - #340 01/20/2020
info_outline Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339 01/16/2020
info_outline Trends in Computer Vision with Amir Zamir - #338 01/13/2020
info_outline Trends in Natural Language Processing with Nasrin Mostafazadeh - #337 01/09/2020
info_outline Trends in Fairness and AI Ethics with Timnit Gebru - #336 01/06/2020
info_outline Trends in Reinforcement Learning with Chelsea Finn - #335 01/02/2020
info_outline Trends in Machine Learning & Deep Learning with Zack Lipton - #334 12/30/2019
info_outline FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333 12/27/2019
info_outline Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332 12/26/2019
 
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