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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 Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389 07/06/2020
info_outline How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388 07/02/2020
info_outline AI for High-Stakes Decision Making with Hima Lakkaraju - #387 06/29/2020
info_outline Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386 06/25/2020
info_outline Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385 06/22/2020
info_outline Machine Learning Commerce at Square with Marsal Gavalda - #384 06/18/2020
info_outline Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383 06/15/2020
info_outline Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382 06/11/2020
info_outline 2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381 06/08/2020
info_outline Panel: Advancing Your Data Science Career During the Pandemic - #380 06/04/2020
info_outline On George Floyd, Empathy, and the Road Ahead 06/02/2020
info_outline Engineering a Less Artificial Intelligence with Andreas Tolias - #379 05/28/2020
info_outline Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378 05/25/2020
info_outline The Physics of Data with Alpha Lee - #377 05/21/2020
info_outline Is Linguistics Missing from NLP Research? w/ Emily M. Bender - #376 05/18/2020
info_outline Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz - #375 05/14/2020
info_outline Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374 05/11/2020
info_outline The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373 05/07/2020
info_outline Language Modeling and Protein Generation at Salesforce with Richard Socher - #372 05/04/2020
info_outline AI Research at JPMorgan Chase with Manuela Veloso - #371 04/30/2020
info_outline Panel: Responsible Data Science in the Fight Against COVID-19 - #370 04/29/2020
info_outline Adversarial Examples Are Not Bugs, They Are Features with Aleksander Madry - #369 04/27/2020
info_outline AI for Social Good: Why "Good" isn't Enough with Ben Green - #368 04/23/2020
info_outline The Evolution of Evolutionary AI with Risto Miikkulainen - #367 04/20/2020
info_outline Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366 04/16/2020
info_outline Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365 04/13/2020
info_outline Neural Ordinary Differential Equations with David Duvenaud - #364 04/09/2020
info_outline The Measure and Mismeasure of Fairness with Sharad Goel - #363 04/06/2020
info_outline Simulating the Future of Traffic with RL w/ Cathy Wu - #362 04/02/2020
info_outline Consciousness and COVID-19 with Yoshua Bengio - #361 03/30/2020
 
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