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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 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
info_outline Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331 12/24/2019
info_outline How to Know with Celeste Kidd - #330 12/23/2019
info_outline Using Deep Learning to Predict Wildfires with Feng Yan - #329 12/20/2019
info_outline Advancing Machine Learning at Capital One with Dave Castillo - #328 12/19/2019
info_outline Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327 12/17/2019
info_outline Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326 12/13/2019
info_outline Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325 12/12/2019
info_outline Automated Model Tuning with SigOpt - #324 12/09/2019
info_outline Automated Machine Learning with Erez Barak - #323 12/06/2019
info_outline Responsible AI in Practice with Sarah Bird - #322 12/04/2019
info_outline Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321 12/02/2019
info_outline DevOps for ML with Dotscience - #320 11/26/2019
info_outline Building an Autonomous Knowledge Graph with Mike Tung - #319 11/21/2019
 
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