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.
376
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
377
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
378
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
379
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
380
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
381
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
382
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
383
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
384
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
385
Panel: Advancing Your Data Science Career Durin...
Today we’re joined by Ana Maria Echeverri, Caroline Chavier, Hilary Mason, and Jacqueline Nolis, our guests for the recent Advancing Your Data Science Career During the Pandemic panel. In this conversation, we explore ways that Data Scientists and...
67 min
386
On George Floyd, Empathy, and the Road Ahead
Visit twimlai.com/blacklivesmatter for resources to support organizations pushing for social equity like Black Lives Matter, and groups offering relief for those jailed for exercising their rights to peaceful protest.
6 min
387
Engineering a Less Artificial Intelligence with...
Today we’re joined by Andreas Tolias, Professor of Neuroscience at Baylor College of Medicine and Principal Investigator of the Neuroscience-Inspired Networks for Artificial Intelligence organization. We caught up with Andreas to discuss his recent...
45 min
388
Rethinking Model Size: Train Large, Then Compre...
Today we’re joined by Joseph Gonzalez, Assistant Professor in the EECS department at UC Berkeley. Our main focus in the conversation is Joseph’s paper “Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference...
51 min
389
The Physics of Data with Alpha Lee - #377
Today we’re joined by Alpha Lee, Winton Advanced Fellow in the Department of Physics at the University of Cambridge, and Co-Founder of startup, PostEra. Our conversation centers around Alpha’s research which can be broken down into three main...
32 min
390
Is Linguistics Missing from NLP Research? w/ Em...
Today we’re joined by Emily M. Bender, Professor of Linguistics at the University of Washington. Our discussion covers a lot of ground, but centers on the question, "Is Linguistics Missing from NLP Research?" We explore if we would be making...
51 min
391
Disrupting DeepFakes: Adversarial Attacks Again...
Today we’re joined by Nataniel Ruiz, a PhD Student in the Image & Video Computing group at Boston University. We caught up with Nataniel to discuss his paper “Disrupting DeepFakes: Adversarial Attacks Against Conditional Image...
41 min
392
Understanding the COVID-19 Data Quality Problem...
Today we’re joined by Sherri Rose, Associate Professor at Harvard Medical School. Sherri’s research centers around developing and integrating statistical machine learning approaches to improve human health. We cover a lot of ground in our...
43 min
393
The Whys and Hows of Managing Machine Learning ...
Today we’re joined by Lukas Biewald, founder and CEO of Weights & Biases, to discuss their new tool Artifacts, an end to end pipeline tracker. You might remember Lukas from his original interview with us towards the end of last year, for more...
53 min
394
Language Modeling and Protein Generation at Sal...
Today we’re joined Richard Socher, Chief Scientist and Executive VP at Salesforce. Richard, who has been at the forefront of Salesforce’s AI Research since they acquired his startup Metamind in 2016, and his team have been publishing a ton of...
41 min
395
AI Research at JPMorgan Chase with Manuela Velo...
Today we’re joined by Manuela Veloso, Head of AI Research at JPMorgan Chase and Professor at Carnegie Mellon University. Since moving from CMU to JPMorgan Chase, Manuela and her team established a set of seven lofty research goals. In this...
45 min
396
Panel: Responsible Data Science in the Fight A...
Since the beginning of the coronavirus pandemic, we’ve seen an outpouring of interest on the part of data scientists and AI practitioners wanting to make a contribution. At the same time, some of the resulting efforts have been criticized for...
57 min
397
Adversarial Examples Are Not Bugs, They Are Fea...
Today we’re joined by Aleksander Madry, Faculty in the MIT EECS Department, a member of CSAIL and of the Theory of Computation group. Aleksander, whose work is more on the theoretical side of machine learning research, walks us through his paper...
40 min
398
AI for Social Good: Why "Good" isn't Enough wit...
Today we’re joined by Ben Green, PhD Candidate at Harvard, Affiliate at the Berkman Klein Center for Internet & Society at Harvard, Research Fellow at the AI Now Institute at NYU. Ben’s research is focused on social and policy impacts of...
40 min
399
The Evolution of Evolutionary AI with Risto Mii...
Today we’re joined by Risto Miikkulainen, Associate VP of Evolutionary AI at Cognizant AI, and Professor of Computer Science at the UT Austin. Risto joined us back on to discuss evolutionary algorithms, and today we do an update of sorts on what is...
36 min
400
Neural Architecture Search and Google’s New Aut...
Today we’re super excited to share our recent conversation with Quoc Le, a research scientist at Google, on the Brain team. Quoc has been very busy recently with his work on Google’s AutoML Zero, which details significant advances in automated...
53 min