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
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
402
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
403
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
404
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
405
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
406
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
407
Automating Electronic Circuit Design with Deep ...
Today we’re joined by return guest Karim Beguir, Co-Founder and CEO of InstaDeep. We originally spoke with Karim about InstaDeep’s work back on episode 302, check that episode out for a full brief of Karim’s background. In today’s...
34 min
408
Neural Ordinary Differential Equations with Dav...
Today we’re joined by David Duvenaud, Assistant Professor at the University of Toronto. David, who joined us back on back in January ‘18, is back to talk about the various papers that have come out of his lab over the last year and change,...
48 min
409
The Measure and Mismeasure of Fairness with Sha...
Today we’re joined by Sharad Goel, Assistant Professor in the management science & engineering department at Stanford. Sharad, who also has appointments in the computer science, sociology, and law departments, has spent the recent years focused...
47 min
410
Simulating the Future of Traffic with RL w/ Cat...
Today we’re joined by Cathy Wu, Gilbert W. Winslow Career Development Assistant Professor in the department of Civil and Environmental Engineering at MIT. We had the pleasure of catching up with Cathy at NeurIPS to discuss her talk “Mixed Autonomy...
34 min
411
Consciousness and COVID-19 with Yoshua Bengio -...
Today we’re joined by one of, if not the most cited computer scientist in the world, Yoshua Bengio. Yoshua is a Professor in the Department of Computer Science and Operations Research at the University of Montreal and the Founder and Scientific...
48 min
412
Geometry-Aware Neural Rendering with Josh Tobin...
Today we’re joined by Josh Tobin, Co-Organizer of the machine learning training program Full Stack Deep Learning, and more recently, the founder of a stealth startup. We had the pleasure of sitting down with Josh prior to his presentation of his...
25 min
413
The Third Wave of Robotic Learning with Ken Gol...
Today we’re joined by Ken Goldberg, professor of engineering and William S. Floyd Jr. distinguished chair in engineering at UC Berkeley. Ken, who is also an accomplished artist, and collaborator on projects such as DexNet and The Telegarden, has...
60 min
414
Learning Visiolinguistic Representations with V...
Today we’re joined by Stefan Lee, assistant professor at the school of electrical engineering and computer science at Oregon State University. Stefan, who we sat down with at NeurIPS this past winter, is focused on the development of agents that can...
26 min
415
Upside-Down Reinforcement Learning with Jürgen ...
Today we’re joined by Jürgen Schmidhuber, Co-Founder and Chief Scientist of NNAISENSE, the Scientific Director at IDSIA, as well as a Professor of AI at USI and SUPSI in Switzerland. Jürgen’s lab is well known for creating the Long Short-Term...
33 min
416
SLIDE: Smart Algorithms over Hardware Accelerat...
Today we're joined by Beidi Chen, PhD student at Rice University. Beidi is part of the team that developed a cheaper, algorithmic, CPU alternative to state-of-the-art GPU machines. They presented their findings at NeurIPS 2019 and have since gained a...
30 min
417
Advancements in Machine Learning with Sergey Le...
Today we're joined by Sergey Levine, an Assistant Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. We last heard from Sergey back in 2017, where we explored Deep Robotic Learning. We caught up with Sergey at...
42 min
418
Secrets of a Kaggle Grandmaster with David Odai...
Imagine spending years learning ML from the ground up, from its theoretical foundations, but still feeling like you didn’t really know how to apply it. That’s where David Odaibo found himself in 2015, after the second year of his PhD. David’s...
40 min
419
NLP for Mapping Physics Research with Matteo Ch...
Predicting the future of science, particularly physics, is the task that Matteo Chinazzi, an associate research scientist at Northeastern University focused on in his paper , along with co-authors including former TWIML AI Podcast guest . In addition...
34 min
420
Metric Elicitation and Robust Distributed Learn...
The unfortunate reality is that many of the most commonly used machine learning metrics don't account for the complex trade-offs that come with real-world decision making. This is one of the challenges that today’s guest, Sanmi Koyejo has dedicated...
55 min
421
High-Dimensional Robust Statistics with Ilias D...
Today we’re joined by Ilias Diakonikolas, faculty in the CS department at the University of Wisconsin-Madison, and author of the paper Distribution-Independent PAC Learning of Halfspaces with Massart Noise, which was the recipient of the NeurIPS...
35 min
422
How AI Predicted the Coronavirus Outbreak with ...
Today we’re joined by Kamran Khan, founder & CEO of BlueDot, and professor of medicine and public health at the University of Toronto. BlueDot, a digital health company with a focus on surveilling global infectious disease outbreaks, has been...
50 min
423
Turning Ideas into ML Powered Products with Emm...
Today we’re joined by Emmanuel Ameisen, machine learning engineer at Stripe, and author of the recently published book “Building Machine Learning Powered Applications; Going from Idea to Product.” In our conversation, we discuss structuring...
41 min
424
Algorithmic Injustices and Relational Ethics wi...
Today we’re joined by Abeba Birhane, PhD Student at University College Dublin and author of the recent paper . We caught up with Abeba, whose aforementioned paper was the recipient of the Best Paper award at the most recent Black in AI Workshop at...
40 min
425
AI for Agriculture and Global Food Security wit...
Today we’re excited to kick off our annual Black in AI Series joined by Nemo Semret, CTO of Gro Intelligence. Gro provides an agricultural data platform dedicated to improving global food security, focused on applying AI at macro scale. In our...
63 min