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.
451
Measuring Performance Under Pressure Using ML w...
Today we're joined by Lotte Bransen, Scientific Researcher at SciSports. With a background in mathematics, econometrics and soccer, Lotte has honed her research on analytics of the game and its players. More specifically, using trained models to...
33 min
452
Managing Deep Learning Experiments with Lukas B...
Today we're joined by Lukas Biewald, CEO and Co-Founder of Weights & Biases. Lukas, previously CEO and Founder of Figure Eight (CrowdFlower), has a straightforward goal: provide researchers with SaaS that is easy to install, simple to operate, and...
41 min
453
Re-Architecting Data Science at iRobot with Ang...
Today we’re joined by Angela Bassa, Director of Data Science at iRobot. In our conversation, Angela and I discuss: • iRobot's re-architecture, and a look at the evolution of iRobot. • Where iRobot gets its data from and how they taxonomize data...
47 min
454
Disentangled Representations & Google Research ...
Today we’re joined by Olivier Bachem, a research scientist at Google AI on the Brain team. Initially, Olivier joined us to discuss his work on Google’s research football project, their foray into building a novel reinforcement learning...
41 min
455
Neural Network Quantization and Compression wit...
Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. Tijmen is also co-founder of ML startup Scyfer, along with Qualcomm colleague Max Welling, who we spoke with back on...
49 min
456
Identifying New Materials with NLP with Anubhav...
Today we are joined by Anubhav Jain, Staff Scientist & Chemist at Lawrence Berkeley National Lab. Anubhav leads the Hacker Materials Research Group, where his research focuses on applying computing to accelerate the process of finding new...
39 min
457
The Problem with Black Boxes with Cynthia Rudin...
You asked, we listened! Today, by listener request, we are joined by Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science at Duke University. Cynthia is passionate about machine learning and social...
48 min
458
Human-Robot Interaction and Empathy with Kate D...
Today we’re joined by Dr. Kate Darling, Research Specialist at the MIT Media Lab. Kate’s focus is on robot ethics and interaction, namely the social implication of how people treat robots and the purposeful design of robots in our daily lives....
42 min
459
Automated ML for RNA Design with Danny Stoll - ...
Today we’re joined by Danny Stoll, Research Assistant at the University of Freiburg. Since high school, Danny has been fascinated by Deep Learning which has grown into a desire to make machine learning available to anyone with interest. Danny’s...
36 min
460
Developing a brain atlas using deep learning wi...
Today we’re joined by Theofanis Karayannis, Assistant Professor at the Brain Research Institute of the University of Zurich. Theo’s research is currently focused on understanding how circuits in the brain are formed during development and modified...
36 min
461
Environmental Impact of Large-Scale NLP Model T...
Today we’re joined by Emma Strubell, currently a visiting scientist at Facebook AI Research. Emma’s focus is on NLP and bringing state of the art NLP systems to practitioners by developing efficient and robust machine learning models. Her paper,...
36 min
462
“Fairwashing” and the Folly of ML Solutionism w...
Today we’re joined by Zachary Lipton, Assistant Professor in the Tepper School of Business. With an overarching theme of data quality and interpretation, Zachary's research and work is focused on machine learning in healthcare, with the goal of not...
74 min
463
Retinal Image Generation for Disease Discovery ...
Today we’re joined by Dr. Stephen Odaibo, Founder and CEO of RETINA-AI Health Inc. Stephen’s unique journey to machine learning and AI includes degrees in math, medicine and computer science, which led him to an ophthalmology practice before...
40 min
464
Real world model explainability with Rayid Ghan...
Today we’re joined by Rayid Ghani, Director of the Center for Data Science and Public Policy at the University of Chicago. Rayid’s goal is to combine his skills in machine learning and data with his desire to improve public policy and the social...
49 min
465
Inspiring New Machine Learning Platforms w/ Bio...
Today we’re joined by Michael Levin, Director of the Allen Discovery Institute at Tufts University. Michael joined us back at NeurIPS to discuss his invited talk “What Bodies Think About: Bioelectric Computation Beyond the Nervous System as...
24 min
466
Simulation and Synthetic Data for Computer Visi...
Today we’re joined by Batu Arisoy, Research Manager with the Vision Technologies & Solutions team at Siemens Corporate Technology. Currently, Batu’s research focus is solving limited data computer vision problems, providing R&D for many of...
40 min
467
Spiking Neural Nets and ML as a Systems Challen...
Today we’re joined by Jeff Gehlhaar, VP of Technology and Head of AI Software Platforms at Qualcomm. As we’ve explored in our conversations with both Gary Brotman and Max Welling, Qualcomm has a hand in tons of machine learning research and...
51 min
468
Transforming Oil & Gas with AI with Adi Bhashya...
Today we’re joined by return guest Daniel Jeavons, GM of Data Science at Shell, and Adi Bhashyam, GM of Data Science at C3, who we had the pleasure of speaking to at this years C3 Transform Conference. In our conversation, we discuss: • The...
45 min
469
Fast Radio Burst Pulse Detection with Gerry Zha...
Today we’re joined by Yunfan Gerry Zhang, a PhD student in the Department of Astrophysics at UC Berkely, and an affiliate of Berkeley’s SETI research center. In our conversation, we discuss: • Gerry's research on applying machine...
37 min
470
Tracking CO2 Emissions with Machine Learning wi...
Today we’re joined by Laurence Watson, Co-Founder and CTO of Plentiful Energy and a former data scientist at Carbon Tracker. In our conversation, we discuss: • Carbon Tracker's goals, and their report “Nowhere to hide: Using satellite imagery to...
40 min
471
Topic Modeling for Customer Insights at USAA wi...
Today we’re joined by William Fehlman, director of data science at USAA. We caught up with William a while back to discuss: His work on topic modeling, which USAA uses in various scenarios, including chat channels with members via mobile and...
43 min
472
Phronesis of AI in Radiology with Judy Gichoya ...
Today we’re joined by Judy Gichoya an interventional radiology fellow at the Dotter Institute at Oregon Health and Science University. In our conversation, we discuss: • Judy's research in “Phronesis of AI in Radiology: Superhuman meets Natural...
42 min
473
The Ethics of AI-Enabled Surveillance with Kare...
Today we’re joined by Karen Levy, assistant professor in the department of information science at Cornell University. Karen’s research focuses on how rules and technologies interact to regulate behavior, especially the legal, organizational, and...
42 min
474
Supporting Rapid Model Development at Two Sigma...
Today we’re joined by Matt Adereth, managing director of investments at Two Sigma, and return guest Scott Clark, co-founder and CEO of SigOpt, to discuss: • The end to end modeling platform at Two Sigma, who it serves, and challenges faced in...
45 min
475
Scaling Model Training with Kubernetes at Strip...
Today we’re joined by Kelley Rivoire, engineering manager working on machine learning infrastructure at Stripe. Kelley and I caught up at a recent Strata Data conference to discuss: • Her talk "Scaling model training: From flexible training APIs...
41 min