This Week in Machine Learning & AI is the most popular podcast of its kind. Culture & Organization for Effective ML at Scale (Panel) - #308, Live from TWIMLcon! Posted in Artificial Intelligence, Debt Collection, Fintech, Regulatory and Enforcement. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence), Common Sense as an Algorithmic Framework with Dileep George - #430, Scaling Enterprise ML in 2020: Still Hard! TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. Use-Case Driven ML Platforms with Franziska Bell - #307, Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309, Live from TWIMLcon! TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304, The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303, Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302, Deep Learning with Structured Data w/ Mark Ryan - #301, Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300, Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299, Rebooting AI: What's Missing, What's Next with Gary Marcus - TWIML Talk #298, DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297, Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296, Managing Deep Learning Experiments with Lukas Biewald - TWIML Talk #295, Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294, Disentangled Representations & Google Research Football with Olivier Bachem - TWIML Talk #293, Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292, Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291, The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290, Human-Robot Interaction and Empathy with Kate Darling - TWIML Talk #289, Automated ML for RNA Design with Danny Stoll - TWIML Talk #288, Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287, Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286, “Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285, Retinal Image Generation for Disease Discovery with Stephen Odaibo - TWIML Talk #284, Real world model explainability with Rayid Ghani - TWiML Talk #283, Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282, Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281, Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - TWIML Talk #280, Transforming Oil & Gas with AI with Adi Bhashyam and Daniel Jeavons - TWIML Talk #279, Fast Radio Burst Pulse Detection with Gerry Zhang - TWIML Talk #278, Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277, Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276, Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275, The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274, Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273, Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272, Productizing ML at Scale at Twitter with Yi Zhuang - TWIML Talk #271, Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270, Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269, Are We Being Honest About How Difficult AI Really Is? They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. In part 5 of TWIML AI’s Industrial AI podcast series, Sam Charrington catches up with Professor Sergey Levine, a roboticist at UC Berkeley. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more. To play this content, you'll need the Spotify app. with Michael I. Jordan - #407, Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406, How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405, Machine Learning as a Software Engineering Discipline with Dillon Erb - #404, AI and the Responsible Data Economy with Dawn Song - #403, Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402, What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400, Human-AI Collaboration for Creativity with Devi Parikh - #399, Neural Augmentation for Wireless Communication with Max Welling - #398, Quantum Machine Learning: The Next Frontier? These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. 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. The final episode of TWIML AI’s Industrial AI podcast series features Josh Bloom, VP Data and Analytics at GE Digital and co-founder of Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. This browser doesn't support Spotify Web Player. with Sushil Thomas - #429, Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428, Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427, Fighting Global Health Disparities with AI w/ Jon Wang - #426, NLP for Equity Investing with Frank Zhao - #424, The Future of Education and AI with Salman Khan - #423, Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422, What's Next for Hosted by Ryan "Agent M" Penagos, Lorraine Cink, ... Common Sense as an Algorithmic Framework with Dileep George - #430, Scaling Enterprise ML in 2020: Still Hard!