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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326
Feature Stores for MLOps with Mike del Balso - ...
Today we’re joined by Mike del Balso, co-Founder and CEO of Tecton.  Mike, who you might remember from our last conversation on the , was a foundational member of the Uber team that created their ML platform, Michelangelo. Since his departure...
44 min
327
Exploring Causality and Community with Suzana I...
In this special #TWIMLfest episode, we’re joined by Suzana Ilić, a computational linguist at Causaly and founder of Machine Learning Tokyo (MLT). Suzana joined us as a keynote speaker to discuss the origins of the MLT community, but we cover a lot...
53 min
328
Decolonizing AI with Shakir Mohamed - #418
In this special #TWIMLfest edition of the podcast, we’re joined by Shakir Mohamed, a Senior Research Scientist at DeepMind. Shakir is also a leader of Deep Learning Indaba, a non-profit organization whose mission is to Strengthen African Machine...
53 min
329
Spatial Analysis for Real-Time Video Processing...
Today we’re joined by Adina Trufinescu, Principal Program Manager at Microsoft, to discuss some of the computer vision updates announced at Ignite 2020.  We focus on the technical innovations that went into their recently announced spatial...
38 min
330
How Deep Learning has Revolutionized OCR with C...
Today we’re joined by Cha Zhang, a Partner Engineering Manager at Microsoft Cloud & AI.  Cha’s work at MSFT is focused on exploring ways that new technologies can be applied to optical character recognition, or OCR, pushing the boundaries...
56 min
331
Machine Learning for Food Delivery at Global Sc...
In this special edition of the show, we discuss the various ways in which machine learning plays a role in helping businesses overcome their challenges in the food delivery space.  A few weeks ago Sam had the opportunity to moderate a panel at...
56 min
332
Open Source at Qualcomm AI Research with Jeff G...
Today we're joined by Jeff Gehlhaar, VP of Technology at Qualcomm, and Zahra Koochak, Staff Machine Learning Engineer at Qualcomm AI Research.  If you haven’t had a chance to listen to our first interview with Jeff, I encourage you to check it...
41 min
333
Visualizing Climate Impact with GANs w/ Sasha L...
Today we’re joined by Sasha Luccioni, a Postdoctoral Researcher at the MILA Institute, and moderator of our upcoming TWIMLfest Panel, ‘Machine Learning in the Fight Against Climate Change.’  We were first introduced to Sasha’s work...
40 min
334
ML-Powered Language Learning at Duolingo with B...
Today we’re joined by Burr Settles, Research Director at Duolingo. Most would acknowledge that one of the most effective ways to learn is one on one with a tutor, and Duolingo’s main goal is to replicate that at scale. In our conversation with...
54 min
335
Bridging The Gap Between Machine Learning and t...
Today we’re joined by Artur Yakimovich, Co-Founder at Artificial Intelligence for Life Sciences and a visiting scientist in the Lab for Molecular Cell Biology at University College London. In our conversation with Artur, we explore the gulf that...
39 min
336
Understanding Cultural Style Trends with Comput...
Today we’re joined by Kavita Bala, the Dean of Computing and Information Science at Cornell University.  Kavita, whose research explores the overlap of computer vision and computer graphics, joined us to discuss a few of her projects, including...
37 min
337
That's a VIBE: ML for Human Pose and Shape Esti...
Today we’re joined by Nikos Athanasiou, Muhammed Kocabas, Ph.D. students, and Michael Black, Director of the Max Planck Institute for Intelligent Systems.  We caught up with the group to explore their paper VIBE: Video Inference for Human Body...
42 min
338
3D Deep Learning with PyTorch 3D w/ Georgia Gki...
Today we’re joined by Georgia Gkioxari, a research scientist at Facebook AI Research.  Georgia was hand-picked by the TWIML community to discuss her work on the recently released open-source library PyTorch3D. In our conversation, Georgia...
34 min
339
What are the Implications of Algorithmic Thinki...
Today we’re joined by the legendary Michael I. Jordan, Distinguished Professor in the Departments of EECS and Statistics at UC Berkeley.  Michael was gracious enough to connect us all the way from Italy after being named recipient. In our...
55 min
340
Beyond Accuracy: Behavioral Testing of NLP Mode...
Today we’re joined by Sameer Singh, an assistant professor in the department of computer science at UC Irvine.  Sameer’s work centers on large-scale and interpretable machine learning applied to information extraction and natural language...
40 min
341
How Machine Learning Powers On-Demand Logistics...
Today we’re joined by Gary Ren, a machine learning engineer for the logistics team at DoorDash.  In our conversation, we explore how machine learning powers the entire logistics ecosystem. We discuss the stages of their “marketplace,” and...
42 min
342
Machine Learning as a Software Engineering Disc...
Today we’re joined by Dillon Erb, Co-founder & CEO of Paperspace. We’ve followed Paperspace since their origins offering GPU-enabled compute resources to data scientists and machine learning developers, to the release of their Jupyter-based...
43 min
343
AI and the Responsible Data Economy with Dawn S...
Today we’re joined by Professor of Computer Science at UC Berkeley, Dawn Song. Dawn’s research is centered at the intersection of AI, deep learning, security, and privacy. She’s currently focused on bringing these disciplines together with her...
52 min
344
Relational, Object-Centric Agents for Completin...
Today we’re joined by Wilka Carvalho, a PhD student at the University of Michigan, Ann Arbor. We first met Wilka at the Black in AI workshop at last year’s NeurIPS conference, and finally got a chance to catch up about his latest research, ‘.’...
40 min
345
Model Explainability Forum - #401
Today we’re bringing you the latest TWIML Discussion Series panel on Model Explainability. The use of machine learning in business, government, and other settings that require users to understand the model’s predictions has exploded in recent...
86 min
346
What NLP Tells Us About COVID-19 and Mental Hea...
Today we’re joined by Johannes Eichstaedt, an Assistant Professor of Psychology at Stanford University.  Johannes joined us at the outset of the coronavirus pandemic to discuss his use of Facebook and Twitter data to measure the psychological...
58 min
347
Human-AI Collaboration for Creativity with Devi...
Today we’re joined by Devi Parikh, Associate Professor at the School of Interactive Computing at Georgia Tech, and research scientist at Facebook AI Research (FAIR).  While Devi’s work is more broadly focused on computer vision applications,...
43 min
348
Neural Augmentation for Wireless Communication ...
Today we’re joined by Max Welling, Vice President of Technologies at Qualcomm Netherlands, and Professor at the University of Amsterdam. In case you missed it, Max joined us last year to discuss his work on  - the 2nd most popular episode of...
47 min
349
Quantum Machine Learning: The Next Frontier? wi...
Today we conclude our 2020 ICML coverage joined by Iordanis Kerenidis, Research Director at Centre National de la Recherche Scientifique (CNRS) in Paris, and Head of Quantum Algorithms at QC Ware. Iordanis’ research centers around quantum algorithms...
59 min
350
ML and Epidemiology with Elaine Nsoesie - #396
Today we continue our ICML series with Elaine Nsoesie, assistant professor at Boston University.  Elaine presented a keynote talk at the ML for Global Health workshop at ICML 2020, where she shared her research centered around data-driven...
45 min