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.
401
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
402
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
403
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
404
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
405
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
406
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
407
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
408
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
409
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
410
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
411
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
412
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
413
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
414
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
415
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
416
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
417
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
418
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
419
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
420
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
421
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
422
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
423
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
424
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
425
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