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.

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401
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
402
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
403
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
404
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
405
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
406
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
407
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
408
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
409
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
410
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
411
Enterprise Readiness, MLOps and Lifecycle Manag...
Today we’re joined by Jordan Edwards, Principal Program Manager for MLOps on Azure ML at Microsoft. In our conversation, Jordan details: How Azure ML accelerates model lifecycle management with MLOps, enabling data scientists to collaborate with IT...
38 min
412
DevOps for ML with Dotscience - #320
Today we’re joined by Luke Marsden, Founder and CEO of Dotscience. Luke walks us through the Dotscience platform and their manifesto on DevOps for ML. Thanks to Luke and Dotscience for their sponsorship of this Democast and their continued support...
45 min
413
Building an Autonomous Knowledge Graph with Mik...
Today we’re joined by Mike Tung, Founder, and CEO of Diffbot. In our conversation, we discuss:  Their various tools, including their Knowledge Graph, Extraction API, and CrawlBot. How Knowledge Graph was inspired by Imagenet, how it was built,...
43 min
414
The Next Generation of Self-Driving Engineers w...
Today we’re joined by our youngest guest ever (by far), Aaron Ma, an 11-year-old middle school student and machine learning engineer in training. Aaron has completed over 80(!) Coursera courses and is the recipient of 3 Udacity nano-degrees. In our...
46 min
415
Spiking Neural Networks: A Primer with Terrence...
On today’s episode, we’re joined by Terrence Sejnowski, Francis Crick Chair, head of the Computational Neurobiology Laboratory at the Salk Institute for Biological Studies and faculty member at UC San Diego. In our conversation with Terry, we...
49 min
416
Bridging the Patient-Physician Gap with ML and ...
Today we’re joined by return guest Xavier Amatriain, Co-founder and CTO of Curai. In our conversation, we discuss Curai’s goal of providing the world’s best primary care to patients via their smartphone, and how ML & AI will bring down...
38 min
417
What Does it Mean for a Machine to "Understand"...
Today we’re joined by Tom Dietterich, Distinguished Professor Emeritus at Oregon State University. We had the pleasure of discussing Tom’s recent blog post, “What does it mean for a machine to “understand,” in which he discusses: Tom’s...
37 min
418
Scaling TensorFlow at LinkedIn with Jonathan Hu...
Today we’re joined by Jonathan Hung, Sr. Software Engineer at LinkedIn, who we caught up with at TensorFlow World last week. In our conversation, we discuss:  Jonathan’s presentation at the event focused on LinkedIn’s efforts scaling...
34 min
419
Machine Learning at GitHub with Omoju Miller - ...
Today we’re joined by Omoju Miller, a Sr. machine learning engineer at GitHub. In our conversation, we discuss: Her dissertation, Hiphopathy, A Socio-Curricular Study of Introductory Computer Science,  Her work as an inaugural member of the...
43 min
420
Using AI to Diagnose and Treat Neurological Dis...
Today we’re joined by Archana Venkataraman, John C. Malone Assistant Professor of Electrical and Computer Engineering at Johns Hopkins University, and MIT 35 innovators under 35 recipient. Archana’s research at the Neural Systems Analysis...
45 min
421
Deep Learning for Earthquake Aftershock Pattern...
Today we are joined by Phoebe DeVries, Postdoctoral Fellow in the Department of Earth and Planetary Sciences at Harvard and assistant faculty at the University of Connecticut and Brendan Meade, Professor of Earth and Planetary Sciences and affiliate...
35 min
422
Live from TWIMLcon! Operationalizing Responsibl...
An often forgotten about topic garnered high praise at TWIMLcon this month: operationalizing responsible and ethical AI. This important topic was combined with an impressive panel of speakers, including: Rachel Thomas, Director, Center for Applied...
29 min
423
Live from TWIMLcon! Scaling ML in the Tradition...
In this episode from a stellar TWIMLcon panel, the state and future of larger, more established brands is analyzed and discussed. Hear from Amr Awadallah, Founder and Global CTO of Cloudera, Pallav Agrawal, Director of Data Science at Levi Strauss...
33 min
424
Live from TWIMLcon! Culture & Organization for ...
TWIMLcon brought together so many in the ML/AI community to discuss the unique challenges to building and scaling machine learning platforms. In this episode, hear from a diverse set of panelists including: Pardis Noorzad, Data Science Manager at...
26 min
425
Live from TWIMLcon! Use-Case Driven ML Platform...
Franziska Bell, Ph.D., is the Director of Data Science Platforms at Uber, and joined Sam on stage at TWIMLcon last week to discuss all things platform at Uber. With the goal of providing cutting edge data science company-wide at the push of a button,...
32 min