The TWIML AI Podcast (formerly This W...
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, computer science, data science and more.
426
Practical Differential Privacy at LinkedIn with...
Today we’re joined by Ryan Rogers, Senior Software Engineer at LinkedIn. We caught up with Ryan at NeurIPS, where he presented the paper “Practical Differentially Private Top-k Selection with Pay-what-you-get Composition” as a spotlight talk. In...
32 min
427
Networking Optimizations for Multi-Node Deep Le...
Today we conclude our KubeCon ‘19 Series joined by Erez Cohen, VP of CloudX & AI at Mellanox. In our conversation, we discuss: Erez’s talk “Networking Optimizations for Multi-Node Deep Learning on Kubernetes.” where he discusses problems...
30 min
428
Managing Research Needs at the University of Mi...
Today we’re joined by Bob Killen, Research Cloud Administrator at the University of Michigan. In our conversation, we discuss: How his group is deploying Kubernetes at UM. The user experience of his broad user base, including those using KubeFlow...
24 min
429
Scalable and Maintainable Workflows at Lyft wit...
Today we kick off our KubeCon ‘19 series joined by Haytham AbuelFutuh and Ketan Umare, a pair of software engineers at Lyft. In our conversation, we discuss: Their newly open-sourced, cloud-native ML and data processing platform, Flyte. What...
44 min
430
Causality 101 with Robert Osazuwa Ness - #342
Today we’re accompanied by Robert Osazuwa Ness, Machine Learning Research Engineer at ML Startup Gamalon and Instructor at Northeastern University. Robert, who we had the pleasure of meeting at the Black in AI Workshop at NeurIPS last month, joins...
38 min
431
PaccMann^RL: Designing Anticancer Drugs with Re...
Today we’re joined by Jannis Born, Ph.D. student at ETH & IBM Research Zurich. We caught up with Jannis a few weeks back at NeurIPS, to discuss: His research paper “PaccMann<sup>RL</sup>: Designing anticancer drugs from...
41 min
432
Social Intelligence with Blaise Aguera y Arcas ...
Today we’re joined by Blaise Aguera y Arcas, a distinguished scientist at Google. We had the pleasure of catching up with Blaise at NeurIPS last month, where he was invited to speak on “Social Intelligence.” In our conversation, we discuss: ...
46 min
433
Music & AI Plus a Geometric Perspective on Rein...
Today we’re joined by Pablo Samuel Castro, Staff Research Software Developer at Google. Pablo, whose research is mainly focused on reinforcement learning, and I caught up at NeurIPS last month. We cover a lot of ground in our conversation, including...
43 min
434
Trends in Computer Vision with Amir Zamir - #338
Today we close out AI Rewind 2019 joined by Amir Zamir, who recently began his tenure as an Assistant Professor of Computer Science at the Swiss Federal Institute of Technology. Amir joined us back in 2018 to discuss his CVPR Best Paper winner, and in...
96 min
435
Trends in Natural Language Processing with Nasr...
Today we continue the AI Rewind 2019 joined by friend-of-the-show Nasrin Mostafazadeh, Senior AI Research Scientist at Elemental Cognition. We caught up with Nasrin to discuss the latest and greatest developments and trends in Natural Language...
71 min
436
Trends in Fairness and AI Ethics with Timnit Ge...
Today we keep the 2019 AI Rewind series rolling with friend-of-the-show Timnit Gebru, a research scientist on the Ethical AI team at Google. A few weeks ago at NeurIPS, Timnit joined us to discuss the ethics and fairness landscape in 2019. In our...
49 min
437
Trends in Reinforcement Learning with Chelsea F...
Today we continue to review the year that was 2019 via our AI Rewind series, and do so with friend of the show Chelsea Finn, Assistant Professor in the Computer Science Department at Stanford University. Chelsea’s research focuses on Reinforcement...
67 min
438
Trends in Machine Learning & Deep Learning with...
Today we kick off our 2019 AI Rewind Series joined by Zack Lipton, a jointly appointed Professor in the Tepper School of Business and the Machine Learning Department at CMU. You might remember Zack from our conversation earlier this year,...
79 min
439
FaciesNet & Machine Learning Applications in En...
Today we close out our 2019 NeurIPS series with Mohamed Sidahmed, Machine Learning and Artificial Intelligence R&D Manager at Shell. In our conversation, we discuss: The papers Mohamed and his team submitted to the conference this year, in...
38 min
440
Machine Learning: A New Approach to Drug Discov...
Today we continue our 2019 NeurIPS coverage joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. We caught up with Daphne to discuss: Her background in machine learning, beginning in ‘93, and her...
42 min
441
Sensory Prediction Error Signals in the Neocort...
Today we continue our 2019 NeurIPS coverage, this time around joined by Blake Richards, Assistant Professor at McGill University and a Core Faculty Member at Mila. In our conversation, we discuss: His invited talk at the Neuro-AI Workshop “Sensory...
39 min
442
How to Know with Celeste Kidd - #330
Today we begin our coverage of the 2019 NeurIPS conference with Celeste Kidd, Assistant Professor of Psychology at UC Berkeley. In our conversation, we discuss: The research at the Kidd Lab, which is focused on understanding “how people come to...
52 min
443
Using Deep Learning to Predict Wildfires with F...
Today we’re joined by Feng Yan, Assistant Professor at the University of Nevada, Reno. In our conversation, we discuss: ALERTWildfire, a camera-based network infrastructure that captures satellite imagery of wildfires. The many purposes of...
50 min
444
Advancing Machine Learning at Capital One with ...
Today we’re joined by Dave Castillo, Managing Vice President for ML at Capital One and head of their Center for Machine Learning. We caught up with David at re:Invent to discuss the aforementioned Center for Machine Learning, and what has changed...
46 min
445
Helping Fish Farmers Feed the World with Deep L...
Today we’re joined by Bryton Shang, Founder & CEO at Aquabyte. We caught up with Bryton after his talk at re:Invent’s ML Summit to discuss: Aquabyte, a company focused on the application of computer vision fish farming. How Bryton identified...
36 min
446
Metaflow, a Human-Centric Framework for Data Sc...
Today we kick off our re:Invent 2019 series with Ville Tuulos, Machine Learning Infrastructure Manager at Netflix. At re:Invent, Netflix announced the open-sourcing of Metaflow, their “human-centric framework for data science.” In our...
55 min
447
Single Headed Attention RNN: Stop Thinking With...
Today we’re joined by Stephen Merity, startup founder and independent researcher, with a focus on NLP and Deep Learning. In our conversation, we discuss: Stephen’s newest paper, Single Headed Attention RNN: Stop Thinking With Your Head. His...
59 min
448
Automated Model Tuning with SigOpt - #324
In this TWIML Democast, we're joined by SigOpt Co-Founder and CEO Scott Clark. Scott details the SigOpt platform, and gives us a live demo! This episode is best consumed by watching the corresponding video demo, which you can find at .
45 min
449
Automated Machine Learning with Erez Barak - #323
In the final episode of our Azure ML series, we’re joined by Erez Barak, Partner Group Manager of Azure ML at Microsoft. In our conversation, we discuss: Erez’s AutoML philosophy, including how he defines “true AutoML” and his take on the...
41 min
450
Responsible AI in Practice with Sarah Bird - #322
Today we continue our Azure ML at Microsoft Ignite series joined by Sarah Bird, Principal Program Manager at Microsoft. In our conversation, we discuss: Sarah’s work in machine learning systems, with a focus on bringing machine learning research...
37 min