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
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
377
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
378
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
379
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
380
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
381
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
382
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
383
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
384
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
385
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
386
Practical Differential Privacy at LinkedIn with...
Today we’re joined by Ryan Rogers, Senior Software Engineer at LinkedIn. We caught up with Ryan at NeurIPS, where he presented the paper “Practical Differentially Private Top-k Selection with Pay-what-you-get Composition” as a spotlight talk. In...
32 min
387
Networking Optimizations for Multi-Node Deep Le...
Today we conclude our KubeCon ‘19 Series joined by Erez Cohen, VP of CloudX & AI at Mellanox. In our conversation, we discuss: Erez’s talk “Networking Optimizations for Multi-Node Deep Learning on Kubernetes.” where he discusses problems...
30 min
388
Managing Research Needs at the University of Mi...
Today we’re joined by Bob Killen, Research Cloud Administrator at the University of Michigan. In our conversation, we discuss: How his group is deploying Kubernetes at UM. The user experience of his broad user base, including those using KubeFlow...
24 min
389
Scalable and Maintainable Workflows at Lyft wit...
Today we kick off our KubeCon ‘19 series joined by Haytham AbuelFutuh and Ketan Umare, a pair of software engineers at Lyft. In our conversation, we discuss: Their newly open-sourced, cloud-native ML and data processing platform, Flyte. What...
44 min
390
Causality 101 with Robert Osazuwa Ness - #342
Today we’re accompanied by Robert Osazuwa Ness, Machine Learning Research Engineer at ML Startup Gamalon and Instructor at Northeastern University. Robert, who we had the pleasure of meeting at the Black in AI Workshop at NeurIPS last month, joins...
38 min
391
PaccMann^RL: Designing Anticancer Drugs with Re...
Today we’re joined by Jannis Born, Ph.D. student at ETH & IBM Research Zurich. We caught up with Jannis a few weeks back at NeurIPS, to discuss: His research paper “PaccMann<sup>RL</sup>: Designing anticancer drugs from...
41 min
392
Social Intelligence with Blaise Aguera y Arcas ...
Today we’re joined by Blaise Aguera y Arcas, a distinguished scientist at Google. We had the pleasure of catching up with Blaise at NeurIPS last month, where he was invited to speak on “Social Intelligence.” In our conversation, we discuss: ...
46 min
393
Music & AI Plus a Geometric Perspective on Rein...
Today we’re joined by Pablo Samuel Castro, Staff Research Software Developer at Google. Pablo, whose research is mainly focused on reinforcement learning, and I caught up at NeurIPS last month. We cover a lot of ground in our conversation, including...
43 min
394
Trends in Computer Vision with Amir Zamir - #338
Today we close out AI Rewind 2019 joined by Amir Zamir, who recently began his tenure as an Assistant Professor of Computer Science at the Swiss Federal Institute of Technology. Amir joined us back in 2018 to discuss his CVPR Best Paper winner, and in...
96 min
395
Trends in Natural Language Processing with Nasr...
Today we continue the AI Rewind 2019 joined by friend-of-the-show Nasrin Mostafazadeh, Senior AI Research Scientist at Elemental Cognition. We caught up with Nasrin to discuss the latest and greatest developments and trends in Natural Language...
71 min
396
Trends in Fairness and AI Ethics with Timnit Ge...
Today we keep the 2019 AI Rewind series rolling with friend-of-the-show Timnit Gebru, a research scientist on the Ethical AI team at Google. A few weeks ago at NeurIPS, Timnit joined us to discuss the ethics and fairness landscape in 2019. In our...
49 min
397
Trends in Reinforcement Learning with Chelsea F...
Today we continue to review the year that was 2019 via our AI Rewind series, and do so with friend of the show Chelsea Finn, Assistant Professor in the Computer Science Department at Stanford University. Chelsea’s research focuses on Reinforcement...
67 min
398
Trends in Machine Learning & Deep Learning with...
Today we kick off our 2019 AI Rewind Series joined by Zack Lipton, a jointly appointed Professor in the Tepper School of Business and the Machine Learning Department at CMU. You might remember Zack from our conversation earlier this year,...
79 min
399
FaciesNet & Machine Learning Applications in En...
Today we close out our 2019 NeurIPS series with Mohamed Sidahmed, Machine Learning and Artificial Intelligence R&D Manager at Shell. In our conversation, we discuss: The papers Mohamed and his team submitted to the conference this year, in...
38 min
400
Machine Learning: A New Approach to Drug Discov...
Today we continue our 2019 NeurIPS coverage joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. We caught up with Daphne to discuss: Her background in machine learning, beginning in ‘93, and her...
42 min