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.

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Tech News
201
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
202
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
203
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
204
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
205
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
206
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
207
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
208
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
209
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
210
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
211
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
212
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
213
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
214
Sensory Prediction Error Signals in the Neocort...
Today we continue our 2019 NeurIPS coverage, this time around joined by Blake Richards, Assistant Professor at McGill University and a Core Faculty Member at Mila. In our conversation, we discuss: His invited talk at the Neuro-AI Workshop “Sensory...
39 min
215
How to Know with Celeste Kidd - #330
Today we begin our coverage of the 2019 NeurIPS conference with Celeste Kidd, Assistant Professor of Psychology at UC Berkeley. In our conversation, we discuss: The research at the Kidd Lab, which is focused on understanding “how people come to...
52 min
216
Using Deep Learning to Predict Wildfires with F...
Today we’re joined by Feng Yan, Assistant Professor at the University of Nevada, Reno. In our conversation, we discuss: ALERTWildfire, a camera-based network infrastructure that captures satellite imagery of wildfires. The many purposes of...
50 min
217
Advancing Machine Learning at Capital One with ...
Today we’re joined by Dave Castillo, Managing Vice President for ML at Capital One and head of their Center for Machine Learning. We caught up with David at re:Invent to discuss the aforementioned Center for Machine Learning, and what has changed...
46 min
218
Helping Fish Farmers Feed the World with Deep L...
Today we’re joined by Bryton Shang, Founder & CEO at Aquabyte. We caught up with Bryton after his talk at re:Invent’s ML Summit to discuss: Aquabyte, a company focused on the application of computer vision fish farming. How Bryton identified...
36 min
219
Metaflow, a Human-Centric Framework for Data Sc...
Today we kick off our re:Invent 2019 series with Ville Tuulos, Machine Learning Infrastructure Manager at Netflix. At re:Invent, Netflix announced the open-sourcing of Metaflow, their “human-centric framework for data science.” In our...
55 min
220
Single Headed Attention RNN: Stop Thinking With...
Today we’re joined by Stephen Merity, startup founder and independent researcher, with  a focus on NLP and Deep Learning. In our conversation, we discuss: Stephen’s newest paper, Single Headed Attention RNN: Stop Thinking With Your Head. His...
59 min
221
Automated Model Tuning with SigOpt - #324
In this TWIML Democast, we're joined by SigOpt Co-Founder and CEO Scott Clark. Scott details the SigOpt platform, and gives us a live demo! This episode is best consumed by watching the corresponding video demo, which you can find at .     
45 min
222
Automated Machine Learning with Erez Barak - #323
In the final episode of our Azure ML series, we’re joined by Erez Barak, Partner Group Manager of Azure ML at Microsoft. In our conversation, we discuss: Erez’s AutoML philosophy, including how he defines “true AutoML” and his take on the...
41 min
223
Responsible AI in Practice with Sarah Bird - #322
Today we continue our Azure ML at Microsoft Ignite series joined by Sarah Bird, Principal Program Manager at Microsoft. In our conversation, we discuss: Sarah’s work in machine learning systems, with a focus on bringing machine learning research...
37 min
224
Enterprise Readiness, MLOps and Lifecycle Manag...
Today we’re joined by Jordan Edwards, Principal Program Manager for MLOps on Azure ML at Microsoft. In our conversation, Jordan details: How Azure ML accelerates model lifecycle management with MLOps, enabling data scientists to collaborate with IT...
38 min
225
DevOps for ML with Dotscience - #320
Today we’re joined by Luke Marsden, Founder and CEO of Dotscience. Luke walks us through the Dotscience platform and their manifesto on DevOps for ML. Thanks to Luke and Dotscience for their sponsorship of this Democast and their continued support...
45 min
226
Building an Autonomous Knowledge Graph with Mik...
Today we’re joined by Mike Tung, Founder, and CEO of Diffbot. In our conversation, we discuss:  Their various tools, including their Knowledge Graph, Extraction API, and CrawlBot. How Knowledge Graph was inspired by Imagenet, how it was built,...
43 min
227
The Next Generation of Self-Driving Engineers w...
Today we’re joined by our youngest guest ever (by far), Aaron Ma, an 11-year-old middle school student and machine learning engineer in training. Aaron has completed over 80(!) Coursera courses and is the recipient of 3 Udacity nano-degrees. In our...
46 min
228
Spiking Neural Networks: A Primer with Terrence...
On today’s episode, we’re joined by Terrence Sejnowski, Francis Crick Chair, head of the Computational Neurobiology Laboratory at the Salk Institute for Biological Studies and faculty member at UC San Diego. In our conversation with Terry, we...
49 min
229
Bridging the Patient-Physician Gap with ML and ...
Today we’re joined by return guest Xavier Amatriain, Co-founder and CTO of Curai. In our conversation, we discuss Curai’s goal of providing the world’s best primary care to patients via their smartphone, and how ML & AI will bring down...
38 min
230
What Does it Mean for a Machine to "Understand"...
Today we’re joined by Tom Dietterich, Distinguished Professor Emeritus at Oregon State University. We had the pleasure of discussing Tom’s recent blog post, “What does it mean for a machine to “understand,” in which he discusses: Tom’s...
37 min
231
Scaling TensorFlow at LinkedIn with Jonathan Hu...
Today we’re joined by Jonathan Hung, Sr. Software Engineer at LinkedIn, who we caught up with at TensorFlow World last week. In our conversation, we discuss:  Jonathan’s presentation at the event focused on LinkedIn’s efforts scaling...
34 min
232
Machine Learning at GitHub with Omoju Miller - ...
Today we’re joined by Omoju Miller, a Sr. machine learning engineer at GitHub. In our conversation, we discuss: Her dissertation, Hiphopathy, A Socio-Curricular Study of Introductory Computer Science,  Her work as an inaugural member of the...
43 min
233
Using AI to Diagnose and Treat Neurological Dis...
Today we’re joined by Archana Venkataraman, John C. Malone Assistant Professor of Electrical and Computer Engineering at Johns Hopkins University, and MIT 35 innovators under 35 recipient. Archana’s research at the Neural Systems Analysis...
45 min
234
Deep Learning for Earthquake Aftershock Pattern...
Today we are joined by Phoebe DeVries, Postdoctoral Fellow in the Department of Earth and Planetary Sciences at Harvard and assistant faculty at the University of Connecticut and Brendan Meade, Professor of Earth and Planetary Sciences and affiliate...
35 min
235
Live from TWIMLcon! Operationalizing Responsibl...
An often forgotten about topic garnered high praise at TWIMLcon this month: operationalizing responsible and ethical AI. This important topic was combined with an impressive panel of speakers, including: Rachel Thomas, Director, Center for Applied...
29 min
236
Live from TWIMLcon! Scaling ML in the Tradition...
In this episode from a stellar TWIMLcon panel, the state and future of larger, more established brands is analyzed and discussed. Hear from Amr Awadallah, Founder and Global CTO of Cloudera, Pallav Agrawal, Director of Data Science at Levi Strauss...
33 min
237
Live from TWIMLcon! Culture & Organization for ...
TWIMLcon brought together so many in the ML/AI community to discuss the unique challenges to building and scaling machine learning platforms. In this episode, hear from a diverse set of panelists including: Pardis Noorzad, Data Science Manager at...
26 min
238
Live from TWIMLcon! Use-Case Driven ML Platform...
Franziska Bell, Ph.D., is the Director of Data Science Platforms at Uber, and joined Sam on stage at TWIMLcon last week to discuss all things platform at Uber. With the goal of providing cutting edge data science company-wide at the push of a button,...
32 min
239
Live from TWIMLcon! Operationalizing ML at Scal...
The live interviews from TWIMLcon continue with Hussein Mehanna, Head of Machine Learning and Artificial Intelligence at Cruise. From his start at Facebook and then Google and now to Cruise, leading the trend of autonomous vehicles, Hussein has seen...
33 min
240
Live from TWIMLcon! Encoding Company Culture in...
In this episode, Sam is joined by Deepak Agarwal, VP of Engineering at LinkedIn, who graced the stage at TWIMLcon: AI Platforms for a keynote interview. In this episode Deepak shares: The incredible impact that standardizing processes and tools...
32 min
241
Live from TWIMLcon! Overcoming the Barriers to ...
Earlier today, Andrew Ng joined us onstage at TWIMLcon to share some of his immense knowledge. As the Founder and CEO of Landing AI, Co-Chairman and Co-Founder of Coursera, and founding lead of Google Brain, Andrew is no stranger to knowing what it...
34 min
242
The Future of Mixed-Autonomy Traffic with Alexa...
Today we are joined by Alexandre Bayen, Director of the Institute for Transportation Studies and Professor at UC Berkeley.In this episode, we discuss Alex’s background in machine learning, his current research in mixed-autonomy traffic, and the idea...
43 min
243
Deep Reinforcement Learning for Logistics at In...
Today we are joined by Karim Beguir, Co-Founder and CEO of InstaDeep, a company in Tunisia, Africa focusing on building advanced decision-making systems for the enterprise. In this episode, we discuss where his and InstaDeep’s journey began in...
42 min
244
Deep Learning with Structured Data w/ Mark Ryan...
Today we're joined by Mark Ryan, author of Deep Learning with Structured Data, currently in the Manning Early Access Program (MEAP), due for publication in Spring 2020. While working on the Support team at IBM Data and AI, he saw that there was a lack...
38 min
245
Time Series Clustering for Monitoring Fueling I...
Today we're joined by Kalai Ramea, Data Scientist at PARC, a Xerox Company. With a background in transportation, energy efficiency, art, and machine learning, Kalai has been fortunate enough to follow her passions through her work. In this episode we...
30 min
246
Swarm AI for Event Outcome Prediction with Greg...
Today we're joined by Gregg Willcox, Director of Research and Development at Unanimous AI. Inspired by the natural phenomenon called 'swarming', which uses the collective intelligence of a group to produce more accurate results than an individual...
40 min
247
Rebooting AI: What's Missing, What's Next with ...
Today we're joined by Gary Marcus, CEO and Founder at Robust.AI, former CEO and Founder of Geometric Intelligence (acquired by Uber) and well-known scientist, bestselling author, professor and entrepreneur. In this episode hear Gary discuss: His...
46 min
248
DeepQB: Deep Learning to Quantify Quarterback D...
Today we're joined by Brian Burke, Analytics Specialist with the Stats & Information Group at ESPN. A former Navy pilot and lifelong football fan, Brian saw the correlation between fighter pilots and quarterbacks in the quick, pressure-filled...
49 min
249
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
250
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
251
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
252
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
253
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
254
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
255
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
256
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
257
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
258
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
259
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
260
“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
261
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
262
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
263
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
264
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
265
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
266
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
267
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
268
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
269
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
270
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
271
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
272
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
273
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
274
Productizing ML at Scale at Twitter with Yi Zhu...
Today we continue our AI Platforms series joined by Yi Zhuang, Senior Staff Engineer at Twitter & Tech Lead for Machine Learning Core Environment at Twitter Cortex. In our conversation, we cover:  • The machine learning landscape at...
45 min
275
Snorkel: A System for Fast Training Data Creati...
Today we’re joined by Alex Ratner, Ph.D. student at Stanford. In our conversation, we discuss: • Snorkel, the open source framework that is the successor to Stanford's Deep Dive project. • How Snorkel is used as a framework for creating...
42 min
276
Advancing Autonomous Vehicle Development Using ...
In this, the kickoff episode of AI Platforms Vol. 2, we're joined by Adrien Gaidon, Machine Learning Lead at Toyota Research Institute. Adrien and I caught up to discuss his team’s work on deploying distributed deep learning in the cloud, at...
47 min
277
Are We Being Honest About How Difficult AI Real...
Today we’re joined by David Ferrucci, Founder, CEO, and Chief Scientist at Elemental Cognition, a company focused on building natural learning systems that understand the world the way people do. In our conversation, we discuss:  • His...
49 min
278
Gauge Equivariant CNNs, Generative Models, and ...
Today we’re joined by Max Welling, research chair in machine learning at the University of Amsterdam, as well as VP of technologies at Qualcomm, and Fellow at the Canadian Institute for Advanced Research, or CIFAR. In our conversation, we...
62 min
279
Can We Trust Scientific Discoveries Made Using ...
Today we’re joined by Genevera Allen, associate professor of statistics in the EECS Department at Rice University, Founder and Director of the Rice Center for Transforming Data to Knowledge and Investigator with the Neurological Research Institute...
41 min
280
Creative Adversarial Networks for Art Generatio...
Today we’re joined by Ahmed Elgammal, a professor in the department of computer science at Rutgers, and director of The Art and Artificial Intelligence Lab. In my conversation with Ahmed, we discuss: • His work on AICAN, a creative adversarial...
37 min
281
Diagnostic Visualization for Machine Learning w...
Today we close out our PyDataSci series joined by Rebecca Bilbro, head of data science at ICX media and co-creator of the popular open-source visualization library YellowBrick. In our conversation, Rebecca details: • Her relationship with...
40 min
282
Librosa: Audio and Music Processing in Python w...
Today we continue our PyDataSci series joined by Brian McFee, assistant professor of music technology and data science at NYU, and creator of LibROSA, a python package for music and audio analysis. Brian walks us through his experience building...
37 min
283
Practical Natural Language Processing with spaC...
In this episode of PyDataSci, we’re joined by Ines Montani, Cofounder of Explosion, Co-developer of SpaCy and lead developer of Prodigy. Ines and I caught up to discuss her various projects, including the aforementioned SpaCy, an open-source NLP...
47 min
284
Scaling Jupyter Notebooks with Luciano Resende ...
Today we kick off PyDataSci with Luciano Resende, an Open Source AI Platform Architect at IBM and part of the Center for Open Source Data and AI Technology. Luciano and I caught up to discuss his work on Jupyter Enterprise Gateway, a scalable way to...
32 min
285
Fighting Fake News and Deep Fakes with Machine ...
Today we’re joined by Delip Rao, vice president of research at the AI Foundation, co-author of the book Natural Language Processing with PyTorch, and creator of the Fake News Challenge. Our conversation begins with the origin story of the Fake News...
58 min
286
Maintaining Human Control of Artificial Intelli...
Today we’re joined by Joanna Bryson, Reader at the University of Bath. I was fortunate to catch up with Joanna at the AI Conference where she presented on “Maintaining Human Control of Artificial Intelligence,“ focusing on technological and...
37 min
287
Intelligent Infrastructure Management with Pank...
Today we kick off our AI conference NY series with Pankaj Goyal, VP for AI & HPC product management at HPE, and Rochna Dhand, director of product management for HPE InfoSight. Today we get things kicked off with Pankaj Goyal, VP for AI & HPC...
43 min
288
Organizing for Successful Data Science at Stitc...
For the final episode of our Strata Data series, we’re joined by Eric Colson, Chief Algorithms Officer at Stitch Fix, whose presentation at the conference explored “How to make fewer bad decisions.” Our discussion focuses in on the three key...
51 min
289
End-to-End Data Science to Drive Business Decis...
In this episode of our Strata Data conference series, we’re joined by Burcu Baran, Senior Data Scientist at LinkedIn. At Strata, Burcu, along with a few members of her team, delivered the presentation “Using the full spectrum of data science to...
47 min
290
Learning with Limited Labeled Data with Shiouli...
Today, in the first episode of our Strata Data conference series, we’re joined by Shioulin Sam, Research Engineer with Cloudera Fast Forward Labs. Shioulin and I caught up to discuss the newest report to come out of CFFL, “Learning with Limited...
43 min
291
cuDF, cuML & RAPIDS: GPU Accelerated Data Scien...
Today we're joined by Paul Mahler, senior data scientist and technical product manager for machine learning at NVIDIA. In our conversation, Paul and I discuss NVIDIA's RAPIDS open source project, which aims to bring GPU acceleration to traditional...
37 min
292
Edge AI for Smart Manufacturing with Trista Che...
Today we’re joined by Trista Chen, chief scientist of machine learning at Inventec. At GTC, Trista spoke on “Edge AI in Smart Manufacturing: Defect Detection and Beyond.” In our conversation, we discuss a few of the challenges that Industry 4.0...
37 min
293
Machine Learning for Security and Security for ...
Today we’re joined by Nicole Nichols, a senior research scientist at the Pacific Northwest National Lab. Nicole joined me to discuss her recent presentation at GTC, which was titled “Machine Learning for Security, and Security for Machine...
40 min
294
Domain Adaptation and Generative Models for Sin...
Today we’re joined by Gerald Quon, assistant professor in the Molecular and Cellular Biology department at UC Davis. Gerald presented his work on Deep Domain Adaptation and Generative Models for Single Cell Genomics at GTC this year, which explores...
31 min
295
Mapping Dark Matter with Bayesian Neural Networ...
You might have seen the news yesterday that MIT researcher Katie Bouman produced the first image of a black hole. What’s been less reported is that the algorithm she developed to accomplish this is based on machine learning. Machine learning is...
33 min
296
Deep Learning for Population Genetic Inference ...
Today we’re joined by Dan Schrider, assistant professor in the department of genetics at The University of North Carolina at Chapel Hill. My discussion with Dan starts with an overview of population genomics and from there digs into his application...
48 min
297
Empathy in AI with Rob Walker - TWiML Talk #248
Today we’re joined by Rob Walker, Vice President of Decision Management at Pegasystems. Rob joined us back in to discuss “Hyperpersonalizing the customer experience.” Today, he’s back for a discussion about the role of empathy in AI systems....
39 min
298
Benchmarking Custom Computer Vision Services at...
Today we’re joined by Tom Szumowski, Data Scientist at URBN, the parent company of Urban Outfitters, Anthropologie, and other consumer fashion brands. Tom and I caught up recently to discuss his project “Exploring Custom Vision Services for...
49 min
299
Pragmatic Quantum Machine Learning with Peter W...
Today we’re joined by Peter Wittek, Assistant Professor at the University of Toronto working on quantum-enhanced machine learning and the application of high-performance learning algorithms in quantum physics. Peter and I caught up back in November...
64 min
300
*Bonus Episode* A Quantum Machine Learning Algo...
In this special bonus episode of the podcast, I’m joined by Ewin Tang, a PhD student in the Theoretical Computer Science group at the University of Washington. In our conversation, Ewin and I dig into her paper “A quantum-inspired classical...
39 min