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.
326
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
327
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
328
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
329
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
330
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
331
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
332
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
333
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
334
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
335
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
336
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
337
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
338
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
339
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
340
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
341
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
342
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
343
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
344
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
345
Invariance, Geometry and Deep Neural Networks w...
We continue our CVPR coverage with today’s guest, Pavan Turaga, Associate Professor at Arizona State University, with dual appointments as the Director of the Geometric Media Lab, and Interim Director of the School of Arts, Media, and Engineering....
45 min
346
Channel Gating for Cheaper and More Accurate Ne...
Today we’re joined by Babak Ehteshami Bejnordi, a Research Scientist at Qualcomm. Babak works closely with former guest Max Welling and is currently focused on conditional computation, which is the main driver for today’s conversation. We dig into...
54 min
347
Machine Learning Commerce at Square with Marsal...
Today we’re joined by Marsal Gavalda, head of machine learning for the Commerce platform at Square. Marsal, who hails from Barcelona, Catalonia, kicks off our conversation by indulging Sam in their shared love for language, which is what put...
50 min
348
Cell Exploration with ML at the Allen Institute...
Today we’re joined by Jianxu Chen, a scientist in the Assay Development group at the Allen Institute for Cell Science. At the latest GTC conference, Jianxu presented his work on the Allen Cell Explorer Toolkit, an open-source project that...
43 min
349
Neural Arithmetic Units & Experiences as an Ind...
Today we’re joined by Andreas Madsen, an independent researcher based in Denmark whose research focuses on developing interpretable machine learning models. While we caught up with Andreas to discuss his ICLR spotlight paper, “Neural...
30 min
350
2020: A Critical Inflection Point for Responsib...
Today we’re joined by Rumman Chowdhury, Managing Director and Global Lead of Responsible Artificial Intelligence at Accenture. In our conversation with Rumman, we explored questions like: Why is now such a critical inflection point in the...
60 min