The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Episodes
Consciousness and COVID-19 with Yoshua Bengio - #361
30 Mar 2020
Contributed by Lukas
Today we’re joined by one of, if not the most cited computer scientist in the world, Yoshua Bengio, Professor at the University of Montreal and the ...
Geometry-Aware Neural Rendering with Josh Tobin - #360
26 Mar 2020
Contributed by Lukas
Today we’re joined by Josh Tobin, Co-Organizer of the machine learning training program Full Stack Deep Learning. We had the pleasure of sitting dow...
The Third Wave of Robotic Learning with Ken Goldberg - #359
23 Mar 2020
Contributed by Lukas
Today we’re joined by Ken Goldberg, professor of engineering at UC Berkeley, focused on robotic learning. In our conversation with Ken, we chat abou...
Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
18 Mar 2020
Contributed by Lukas
Today we’re joined by Stefan Lee, an assistant professor at Oregon State University. In our conversation, we focus on his paper ViLBERT: Pretraining...
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
16 Mar 2020
Contributed by Lukas
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 ...
SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen - #356
12 Mar 2020
Contributed by Lukas
Beidi Chen is part of the team that developed a cheaper, algorithmic, CPU alternative to state-of-the-art GPU machines. They presented their findings ...
Advancements in Machine Learning with Sergey Levine - #355
09 Mar 2020
Contributed by Lukas
Today we're joined by Sergey Levine, an Assistant Professor at UC Berkeley. We last heard from Sergey back in 2017, where we explored Deep Robotic Lea...
Secrets of a Kaggle Grandmaster with David Odaibo - #354
05 Mar 2020
Contributed by Lukas
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 ...
NLP for Mapping Physics Research with Matteo Chinazzi - #353
02 Mar 2020
Contributed by Lukas
Predicting the future of science, particularly physics, is the task that Matteo Chinazzi, an associate research scientist at Northeastern University f...
Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352
27 Feb 2020
Contributed by Lukas
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-w...
High-Dimensional Robust Statistics with Ilias Diakonikolas - #351
24 Feb 2020
Contributed by Lukas
Today we’re joined by Ilias Diakonikolas, faculty in the CS department at the University of Wisconsin-Madison, and author of the paper Distribution-...
How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350
19 Feb 2020
Contributed by Lukas
Today we’re joined by Kamran Khan, founder & CEO of BlueDot, and professor of medicine and public health at the University of Toronto. BlueDot has b...
Turning Ideas into ML Powered Products with Emmanuel Ameisen - #349
17 Feb 2020
Contributed by Lukas
Today we’re joined by Emmanuel Ameisen, machine learning engineer at Stripe, and author of the recently published book “Building Machine Learning ...
Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348
13 Feb 2020
Contributed by Lukas
Today we’re joined by Abeba Birhane, PhD Student at University College Dublin and author of the recent paper Algorithmic Injustices: Towards a Relat...
AI for Agriculture and Global Food Security with Nemo Semret - #347
10 Feb 2020
Contributed by Lukas
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 plat...
Practical Differential Privacy at LinkedIn with Ryan Rogers - #346
07 Feb 2020
Contributed by Lukas
Today we’re joined by Ryan Rogers, Senior Software Engineer at LinkedIn, to discuss his paper “Practical Differentially Private Top-k Selection wi...
Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345
05 Feb 2020
Contributed by Lukas
Today we conclude the KubeCon ‘19 series joined by Erez Cohen, VP of CloudX & AI at Mellanox, who we caught up with before his talk “Networking Op...
Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344
03 Feb 2020
Contributed by Lukas
Today we’re joined by Bob Killen, Research Cloud Administrator at the University of Michigan. In our conversation, we explore how Bob and his group ...
Scalable and Maintainable Workflows at Lyft with Flyte w/ Haytham AbuelFutuh and Ketan Umare - #343
30 Jan 2020
Contributed by Lukas
Today we kick off our KubeCon ‘19 series joined by Haytham AbuelFutuh and Ketan Umare, a pair of software engineers at Lyft. We caught up with Hayth...
Causality 101 with Robert Osazuwa Ness - #342
27 Jan 2020
Contributed by Lukas
Today Robert Osazuwa Ness, ML Research Engineer at Gamalon and Instructor at Northeastern University joins us to discuss Causality, what it means, and...
PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341
23 Jan 2020
Contributed by Lukas
Today we’re joined by Jannis Born, Ph.D. student at ETH & IBM Research Zurich, to discuss his “PaccMann^RL” research. Jannis details how his bac...
Social Intelligence with Blaise Aguera y Arcas - #340
20 Jan 2020
Contributed by Lukas
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 mon...
Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339
16 Jan 2020
Contributed by Lukas
Today we’re joined by Pablo Samuel Castro, Staff Research Software Developer at Google. We cover a lot of ground in our conversation, including his ...
Trends in Computer Vision with Amir Zamir - #338
13 Jan 2020
Contributed by Lukas
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 Feder...
Trends in Natural Language Processing with Nasrin Mostafazadeh - #337
09 Jan 2020
Contributed by Lukas
Today we continue the AI Rewind 2019 joined by friend-of-the-show Nasrin Mostafazadeh, Senior AI Research Scientist at Elemental Cognition. We caught ...
Trends in Fairness and AI Ethics with Timnit Gebru - #336
06 Jan 2020
Contributed by Lukas
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 wee...
Trends in Reinforcement Learning with Chelsea Finn - #335
02 Jan 2020
Contributed by Lukas
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 th...
Trends in Machine Learning & Deep Learning with Zack Lipton - #334
30 Dec 2019
Contributed by Lukas
Today we kick off our 2019 AI Rewind Series joined by Zack Lipton, Professor at CMU. You might remember Zack from our conversation earlier this year,...
FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333
27 Dec 2019
Contributed by Lukas
Today we close out our 2019 NeurIPS series with Mohamed Sidahmed, Machine Learning and Artificial Intelligence R&D Manager at Shell. In our conversati...
Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332
26 Dec 2019
Contributed by Lukas
Today we’re joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. In our conversation, discuss the curre...
Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331
24 Dec 2019
Contributed by Lukas
Today we continue our 2019 NeurIPS coverage, this time around joined by Blake Richards, Assistant Professor at McGill University and a Core Faculty Me...
How to Know with Celeste Kidd - #330
23 Dec 2019
Contributed by Lukas
Today we’re joined by Celeste Kidd, Assistant Professor at UC Berkeley, to discuss her invited talk “How to Know” which details her lab’s rese...
Using Deep Learning to Predict Wildfires with Feng Yan - #329
20 Dec 2019
Contributed by Lukas
Today we’re joined by Feng Yan, Assistant Professor at the University of Nevada, Reno to discuss ALERTWildfire, a camera-based network infrastructur...
Advancing Machine Learning at Capital One with Dave Castillo - #328
19 Dec 2019
Contributed by Lukas
Today we’re joined by Dave Castillo, Managing VP for ML at Capital One and head of their Center for Machine Learning. In our conversation, we explor...
Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327
17 Dec 2019
Contributed by Lukas
Today we’re joined by Bryton Shang, Founder & CEO at Aquabyte, a company focused on the application of computer vision to various fish farming use c...
Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326
13 Dec 2019
Contributed by Lukas
Today we kick off our re:Invent 2019 series with Ville Tuulos, Machine Learning Infrastructure Manager at Netflix. At re:Invent, Netflix announced the...
Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325
12 Dec 2019
Contributed by Lukas
Today we’re joined by Stephen Merity, an independent researcher focused on NLP and Deep Learning. In our conversation, we discuss Stephens latest pa...
Automated Model Tuning with SigOpt - #324
09 Dec 2019
Contributed by Lukas
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 epis...
Automated Machine Learning with Erez Barak - #323
06 Dec 2019
Contributed by Lukas
Today we’re joined by Erez Barak, Partner Group Manager of Azure ML at Microsoft. In our conversation, Erez gives us a full breakdown of his AutoML ...
Responsible AI in Practice with Sarah Bird - #322
04 Dec 2019
Contributed by Lukas
Today we continue our Azure ML at Microsoft Ignite series joined by Sarah Bird, Principal Program Manager at Microsoft. At Ignite, Microsoft released ...
Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321
02 Dec 2019
Contributed by Lukas
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...
DevOps for ML with Dotscience - #320
26 Nov 2019
Contributed by Lukas
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 M...
Building an Autonomous Knowledge Graph with Mike Tung - #319
21 Nov 2019
Contributed by Lukas
Today we’re joined by Mike Tung, Founder, and CEO of Diffbot. In our conversation, we discuss Diffbot’s Knowledge Graph, including how it differs ...
The Next Generation of Self-Driving Engineers with Aaron Ma - Talk #318
18 Nov 2019
Contributed by Lukas
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. Aa...
Spiking Neural Networks: A Primer with Terrence Sejnowski - #317
14 Nov 2019
Contributed by Lukas
On today’s episode, we’re joined by Terrence Sejnowski, to discuss the ins and outs of spiking neural networks, including brain architecture, the ...
Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316
11 Nov 2019
Contributed by Lukas
Today we’re joined by return guest Xavier Amatriain, Co-founder and CTO of Curai, whose goal is to make healthcare accessible and scaleable while br...
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
07 Nov 2019
Contributed by Lukas
Today we have the pleasure of being joined by Tom Dietterich, Distinguished Professor Emeritus at Oregon State University. Tom recently wrote a blog p...
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
04 Nov 2019
Contributed by Lukas
Today we’re joined by Jonathan Hung, Sr. Software Engineer at LinkedIn. Jonathan presented at TensorFlow world last week, titled Scaling TensorFlow ...
Machine Learning at GitHub with Omoju Miller - #313
31 Oct 2019
Contributed by Lukas
Today we’re joined by Omoju Miller, a Sr. machine learning engineer at GitHub. In our conversation, we discuss: • Her dissertation, Hiphopathy, A...
Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman - #312
28 Oct 2019
Contributed by Lukas
Today we’re joined by Archana Venkataraman, John C. Malone Assistant Professor of Electrical and Computer Engineering at Johns Hopkins University. A...
Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311
25 Oct 2019
Contributed by Lukas
Today we are joined by Phoebe DeVries, Postdoctoral Fellow in the Department of Earth and Planetary Sciences at Harvard and Brendan Meade, Professor o...
Live from TWIMLcon! Operationalizing Responsible AI - #310
22 Oct 2019
Contributed by Lukas
An often forgotten about topic garnered high praise at TWIMLcon this month: operationalizing responsible and ethical AI. This important topic was comb...
Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309
18 Oct 2019
Contributed by Lukas
Machine learning and AI is finding a place in the traditional enterprise - although the path to get there is different. In this episode, our panel ana...
Live from TWIMLcon! Culture & Organization for Effective ML at Scale (Panel) - #308
15 Oct 2019
Contributed by Lukas
TWIMLcon brought together so many in the ML/AI community to discuss the unique challenges to building and scaling machine learning platforms. In this ...
Live from TWIMLcon! Use-Case Driven ML Platforms with Franziska Bell - #307
10 Oct 2019
Contributed by Lukas
Today we're Franziska Bell, Ph.D., the Director of Data Science Platforms at Uber, who joined Sam on stage at TWIMLcon last week. Fran provided a look...
Live from TWIMLcon! Operationalizing ML at Scale with Hussein Mehanna - #306
08 Oct 2019
Contributed by Lukas
The live interviews from TWIMLcon continue with Hussein Mehanna, Head of ML and AI at Cruise. From his start at Facebook to his current work at Cruise...
Live from TWIMLcon! Encoding Company Culture in Applied AI Systems - #305
04 Oct 2019
Contributed by Lukas
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 intervie...
Live from TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304
01 Oct 2019
Contributed by Lukas
Earlier today, Andrew Ng joined us onstage at TWIMLcon - as the Founder and CEO of Landing AI and founding lead of Google Brain, Andrew is no stranger...
The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303
27 Sep 2019
Contributed by Lukas
Today we are joined by Alexandre Bayen, Director of the Institute for Transportation Studies and Professor at UC Berkeley. Alex's current research is ...
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
25 Sep 2019
Contributed by Lukas
Today we are joined by Karim Beguir, Co-Founder and CEO of InstaDeep, a company focusing on building advanced decision-making systems for the enterpri...
Deep Learning with Structured Data w/ Mark Ryan - #301
19 Sep 2019
Contributed by Lukas
Today we're joined by Mark Ryan, author of the upcoming book Deep Learning with Structured Data. Working on the support team at IBM Data and AI, he sa...
Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300
18 Sep 2019
Contributed by Lukas
Today we're joined by Kalai Ramea, Data Scientist at PARC, a Xerox Company. In this episode we discuss her journey buying a hydrogen car and the subse...
Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299
13 Sep 2019
Contributed by Lukas
Today we're joined by Gregg Willcox, Director of Research and Development at Unanimous AI. Inspired by the natural phenomenon called 'swarming', which...
Rebooting AI: What's Missing, What's Next with Gary Marcus - TWIML Talk #298
10 Sep 2019
Contributed by Lukas
Today we're joined by Gary Marcus, CEO and Founder at Robust.AI, well-known scientist, bestselling author, professor and entrepreneur. Hear Gary discu...
DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297
05 Sep 2019
Contributed by Lukas
Today we're joined by Brian Burke, Analytics Specialist with the Stats & Information Group at ESPN. A former Navy pilot and lifelong football fan, Bri...
Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296
03 Sep 2019
Contributed by Lukas
Today we're joined by Lotte Bransen, a Scientific Researcher at SciSports. With a background in mathematics, econometrics, and soccer, Lotte has honed...
Managing Deep Learning Experiments with Lukas Biewald - TWIML Talk #295
29 Aug 2019
Contributed by Lukas
Today we're joined by Lukas Biewald, CEO and Co-Founder of Weights & Biases. Lukas founded the company after seeing a need for reproducibility in deep...
Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294
26 Aug 2019
Contributed by Lukas
Today we’re joined by Angela Bassa, Director of Data Science at iRobot. In our conversation, Angela and I discuss: • iRobot's re-architecture, an...
Disentangled Representations & Google Research Football with Olivier Bachem - TWIML Talk #293
22 Aug 2019
Contributed by Lukas
Today we’re joined by Olivier Bachem, a research scientist at Google AI on the Brain team. Olivier joins us to discuss his work on Google’s resea...
Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292
19 Aug 2019
Contributed by Lukas
Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. In our conversa...
Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291
15 Aug 2019
Contributed by Lukas
Today we are joined by Anubhav Jain, Staff Scientist & Chemist at Lawrence Berkeley National Lab. We discuss his latest paper, ‘Unsupervised word em...
The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290
14 Aug 2019
Contributed by Lukas
Today we are joined by Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science at Duke University. ...
Human-Robot Interaction and Empathy with Kate Darling - TWIML Talk #289
08 Aug 2019
Contributed by Lukas
Today we’re joined by Dr. Kate Darling, Research Specialist at the MIT Media Lab. Kate’s focus is on robot ethics, the social implication of how p...
Automated ML for RNA Design with Danny Stoll - TWIML Talk #288
05 Aug 2019
Contributed by Lukas
Today we’re joined by Danny Stoll, Research Assistant at the University of Freiburg. Danny’s current research can be encapsulated in his latest pa...
Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
01 Aug 2019
Contributed by Lukas
Today we’re joined by Theofanis Karayannis, Assistant Professor at the Brain Research Institute of the University of Zurich. Theo’s research is fo...
Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286
29 Jul 2019
Contributed by Lukas
Today we’re joined by Emma Strubell, currently a visiting scientist at Facebook AI Research. Emma’s focus is bringing state of the art NLP systems...
“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285
25 Jul 2019
Contributed by Lukas
Today we’re joined by Zachary Lipton, Assistant Professor in the Tepper School of Business. With a theme of data interpretation, Zachary’s researc...
Retinal Image Generation for Disease Discovery with Stephen Odaibo - TWIML Talk #284
22 Jul 2019
Contributed by Lukas
Today we’re joined by Dr. Stephen Odaibo, Founder and CEO of RETINA-AI Health Inc. Stephen’s journey to machine learning and AI includes degrees i...
Real world model explainability with Rayid Ghani - TWiML Talk #283
18 Jul 2019
Contributed by Lukas
Today we’re joined by Rayid Ghani, Director of the Center for Data Science and Public Policy at the University of Chicago. Drawing on his range of e...
Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282
15 Jul 2019
Contributed by Lukas
Today we’re joined by Michael Levin, Director of the Allen Discovery Institute at Tufts University. In our conversation, we talk about synthetic liv...
Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281
09 Jul 2019
Contributed by Lukas
Today we’re joined by Batu Arisoy, Research Manager with the Vision Technologies & Solutions team at Siemens Corporate Technology. Batu’s research...
Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - TWIML Talk #280
08 Jul 2019
Contributed by Lukas
Today we’re joined by Jeff Gehlhaar, VP of Technology and Head of AI Software Platforms at Qualcomm. Qualcomm has a hand in tons of machine learning...
Transforming Oil & Gas with AI with Adi Bhashyam and Daniel Jeavons - TWIML Talk #279
01 Jul 2019
Contributed by Lukas
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 ...
Fast Radio Burst Pulse Detection with Gerry Zhang - TWIML Talk #278
27 Jun 2019
Contributed by Lukas
Today we’re joined by Yunfan Gerry Zhang, a PhD student at UC Berkely, and an affiliate of Berkeley’s SETI research center. In our conversation, ...
Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277
24 Jun 2019
Contributed by Lukas
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...
Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276
20 Jun 2019
Contributed by Lukas
Today we’re joined by William Fehlman, director of data science at USAA, to discuss: • His work on topic modeling, which USAA uses in various sc...
Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275
18 Jun 2019
Contributed by Lukas
Today we’re joined by Judy Gichoya an interventional radiology fellow at the Dotter Institute at Oregon Health and Science University. In our conver...
The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274
14 Jun 2019
Contributed by Lukas
Today we’re joined by Karen Levy, assistant professor in the department of information science at Cornell University. Karen’s research focuses on ...
Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273
11 Jun 2019
Contributed by Lukas
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 di...
Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272
06 Jun 2019
Contributed by Lukas
Today we’re joined by Kelley Rivoire, engineering manager working on machine learning infrastructure at Stripe. Kelley and I caught up at a recent S...
Productizing ML at Scale at Twitter with Yi Zhuang - TWIML Talk #271
03 Jun 2019
Contributed by Lukas
Today we continue our AI Platforms series joined by Yi Zhuang, Senior Staff Engineer at Twitter. In our conversation, we cover: • The machine lea...
Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270
30 May 2019
Contributed by Lukas
Today we’re joined by Alex Ratner, Ph.D. student at Stanford, to discuss: • Snorkel, the open source framework that is the successor to Stanford'...
Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269
28 May 2019
Contributed by Lukas
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 ...
Are We Being Honest About How Difficult AI Really Is? w/ David Ferrucci - TWiML Talk #268
23 May 2019
Contributed by Lukas
Today we’re joined by David Ferrucci, Founder, CEO, and Chief Scientist at Elemental Cognition, a company focused on building natural learning syste...
Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267
20 May 2019
Contributed by Lukas
Today we’re joined by Max Welling, research chair in machine learning at the University of Amsterdam, and VP of Technologies at Qualcomm, to discuss...
Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266
16 May 2019
Contributed by Lukas
Today we’re joined by Genevera Allen, associate professor of statistics in the EECS Department at Rice University. Genevera caused quite the stir ...
Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265
13 May 2019
Contributed by Lukas
Today we’re joined by Ahmed Elgammal, a professor in the department of computer science at Rutgers, and director of The Art and Artificial Intellige...
Diagnostic Visualization for Machine Learning with YellowBrick w/ Rebecca Bilbro - TWiML Talk #264
10 May 2019
Contributed by Lukas
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 visualiz...
Librosa: Audio and Music Processing in Python with Brian McFee - TWiML Talk #263
09 May 2019
Contributed by Lukas
Today we continue our PyDataSci series joined by Brian McFee, assistant professor of music technology and data science at NYU, and creator of LibROSA,...
Practical Natural Language Processing with spaCy and Prodigy w/ Ines Montani - TWiML Talk #262
07 May 2019
Contributed by Lukas
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...