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.
276
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
277
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
278
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
279
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
280
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
281
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
282
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
283
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
284
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
285
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
286
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
287
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
288
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
289
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
290
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
291
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
292
Language (Technology) Is Power: Exploring the I...
Today we’re joined by Hal Daume III, professor at the University of Maryland, Senior Principal Researcher at Microsoft Research, and Co-Chair of the 2020 ICML Conference. We had the pleasure of catching up with Hal ahead of this year's ICML to...
61 min
293
Graph ML Research at Twitter with Michael Brons...
Today we’re excited to be joined by return guest Michael Bronstein, Professor at Imperial College London, and Head of Graph Machine Learning at Twitter. We last spoke with Michael at NeurIPS in 2017 about . Since then, his research focus has...
54 min
294
Panel: The Great ML Language (Un)Debate! - #393
Today we’re excited to bring ‘The Great ML Language (Un)Debate’ to the podcast! In the latest edition of our series of live discussions, we brought together experts and enthusiasts representing an array of both popular and emerging programming...
93 min
295
What the Data Tells Us About COVID-19 with Eric...
Today we’re joined by Eric Topol, Director & Founder of the Scripps Research Translational Institute, and author of the book Deep Medicine. Eric is also one of the most trusted voices on the COVID-19 pandemic, giving those that follow his...
41 min
296
The Case for Hardware-ML Model Co-design with D...
Today we’re joined by Diana Marculescu, Department Chair and Professor of Electrical and Computer Engineering at University of Texas at Austin. We caught up with Diana to discuss her work on hardware-aware machine learning. In particular, we...
44 min
297
Computer Vision for Remote AR with Flora Tasse ...
Today we conclude our CVPR coverage joined by Flora Tasse, Head of Computer Vision & AI Research at Streem. Flora, a keynote speaker at the AR/VR workshop at CVPR, walks us through some of the interesting use cases at the intersection of AI,...
39 min
298
Deep Learning for Automatic Basketball Video Pr...
Today we return to our coverage of the 2020 CVPR conference with a conversation with Julian Quiroga, a Computer Vision Team Lead at Genius Sports. Julian presented his recent paper “n” at the CVSports workshop. We jump right into the paper,...
40 min
299
How External Auditing is Changing the Facial Re...
Today we’re taking a break from our CVPR coverage to bring you this interview with Deb Raji, a Technology Fellow at the AI Now Institute at New York University. Over the past week or two, there have been quite a few major news stories in the...
79 min
300
AI for High-Stakes Decision Making with Hima La...
Today we’re joined by Hima Lakkaraju, an Assistant Professor at Harvard University with appointments in both the Business School and Department of Computer Science. At CVPR, Hima was a keynote speaker at the Fair, Data-Efficient and Trusted...
44 min