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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101
Trends in Reinforcement Learning with Pablo Sam...
Today we kick off our annual AI Rewind series joined by friend of the show Pablo Samuel Castro, a Staff Research Software Developer at Google Brain. Pablo joined us earlier this year for a discussion about Music & AI, and his Geometric Perspective...
85 min
102
MOReL: Model-Based Offline Reinforcement Learni...
Today we close out our NeurIPS series joined by Aravind Rajeswaran, a PhD Student in machine learning and robotics at the University of Washington. At NeurIPS, Aravind presented his paper MOReL: Model-Based Offline Reinforcement Learning. In our...
37 min
103
Machine Learning as a Software Engineering Ente...
As we continue our NeurIPS 2020 series, we’re joined by friend-of-the-show Charles Isbell, Dean, John P. Imlay, Jr. Chair, and professor at the Georgia Tech College of Computing. This year Charles gave an Invited Talk at this year’s conference,...
45 min
104
Natural Graph Networks with Taco Cohen - #440
Today we kick off our NeurIPS 2020 series joined by Taco Cohen, a Machine Learning Researcher at Qualcomm Technologies. In our conversation with Taco, we discuss his current research in equivariant networks and video compression using generative...
57 min
105
Productionizing Time-Series Workloads at Siemen...
Today we close out our re:Invent series joined by Edgar Bahilo Rodriguez, Lead Data Scientist in the industrial applications division of Siemens Energy. Edgar spoke at this year's re:Invent conference about Productionizing R Workloads, and the...
40 min
106
ML Feature Store at Intuit with Srivathsan Canc...
Today we continue our re:Invent series with Srivathsan Canchi, Head of Engineering for the Machine Learning Platform team at Intuit.  As we teased earlier this week, one of the major announcements coming from AWS at re:Invent was the release of...
40 min
107
re:Invent Roundup 2020 with Swami Sivasubramani...
Today we’re kicking off our annual re:invent series joined by Swami Sivasubramanian, VP of Artificial Intelligence, at AWS. During re:Invent last week, Amazon made a ton of announcements on the machine learning front, including quite a few...
47 min
108
Predictive Disease Risk Modeling at 23andMe wit...
Today we’re joined by Subarna Sinha, Machine Learning Engineering Leader at 23andMe. 23andMe handles a massive amount of genomic data every year from its core ancestry business but also uses that data for disease prediction, which is the core use...
38 min
109
Scaling Video AI at RTL with Daan Odijk - #435
Today we’re joined by Daan Odijk, Data Science Manager at RTL. In our conversation with Daan, we explore the RTL MLOps journey, and their need to put platform infrastructure in place for ad optimization and forecasting, personalization, and content...
39 min
110
Benchmarking ML with MLCommons w/ Peter Mattson...
Today we’re joined by Peter Mattson, General Chair at MLPerf, a Staff Engineer at Google, and President of MLCommons.  In our conversation with Peter, we discuss MLCommons and MLPerf, the former an open engineering group with the goal of...
45 min
111
Deep Learning for NLP: From the Trenches with C...
Today we’re joined by Charlene Chambliss, Machine Learning Engineer at Primer AI.  Charlene, who we also had the pleasure of hosting at NLP Office Hours during TWIMLfest, is back to share some of the work she’s been doing with NLP. In our...
44 min
112
Feature Stores for Accelerating AI Development ...
In this special episode of the podcast, we're joined by Kevin Stumpf, Co-Founder and CTO of Tecton, Willem Pienaar, an engineering lead at Gojek and founder of the Feast Project, and Maxime Beauchemin, Founder & CEO of Preset, for a discussion on...
55 min
113
An Exploration of Coded Bias with Shalini Kanta...
In this special edition of the podcast, we're joined by Shalini Kantayya, the director of Coded Bias, and Deb Raji and Meredith Broussard, who both contributed to the film. In this panel discussion, Sam and our guests explored the societal...
83 min
114
Common Sense as an Algorithmic Framework with D...
Today we’re joined by Dileep George, Founder and the CTO of Vicarious. Dileep, who was also a co-founder of Numenta, works at the intersection of AI research and neuroscience, and famously pioneered the hierarchical temporal memory. In our...
46 min
115
Scaling Enterprise ML in 2020: Still Hard! with...
Today we’re joined by Sushil Thomas, VP of Engineering for Machine Learning at Cloudera. Over the summer, I had the pleasure of hosting Sushil and a handful of business leaders across industries at the Cloudera Virtual Roundtable. In this...
45 min
116
Enabling Clinical Automation: From Research to ...
Today we’re joined by Devin Singh, a Physician Lead for Clinical Artificial Intelligence & Machine Learning in Pediatric Emergency Medicine at the Hospital for Sick Children (SickKids) in Toronto, and Founder and CEO of HeroAI. In our...
42 min
117
Pixels to Concepts with Backpropagation w/ Rola...
Today we’re joined by Roland Memisevic, return podcast guest and Co-Founder & CEO of Twenty Billion Neurons.  We last spoke to Roland in 2018, and just earlier this year TwentyBN made a sharp pivot to a surprising use case, a companion app...
33 min
118
Fighting Global Health Disparities with AI w/ J...
Today we’re joined by Jon Wang, a medical student at UCSF, and former Gates Scholar and AI researcher at the Bill and Melinda Gates Foundation. In our conversation with Jon, we explore a few of the different ways he’s attacking various public...
34 min
119
Accessibility and Computer Vision - #425
Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. Engaging with digital imagery has become fundamental...
59 min
120
NLP for Equity Investing with Frank Zhao - #424
Today we’re joined by Frank Zhao, Senior Director of Quantamental Research at S&P Global Market Intelligence. In our conversation with Frank, we explore how he came to work at the intersection of ML and finance, and how he navigates the...
43 min
121
The Future of Education and AI with Salman Khan...
In the final #TWIMLfest Keynote Interview, we’re joined by Salman Khan, Founder of Khan Academy. In our conversation with Sal, we explore the amazing origin story of the academy, and how coronavirus is shaping the future of education and remote and...
46 min
122
Why AI Innovation and Social Impact Go Hand in ...
In this special #TWIMLfest Keynote episode, we’re joined by Milind Tambe, Director of AI for Social Good at Google Research India, and Director of the Center for Research in Computation and Society (CRCS) at Harvard University. In our conversation,...
34 min
123
What's Next for Fast.ai? w/ Jeremy Howard - #421
In this special #TWIMLfest episode of the podcast, we’re joined by Jeremy Howard, Founder of Fast.ai. In our conversation with Jeremy, we discuss his career path, including his journey through the consulting world and how those experiences led him...
60 min
124
Feature Stores for MLOps with Mike del Balso - ...
Today we’re joined by Mike del Balso, co-Founder and CEO of Tecton.  Mike, who you might remember from our last conversation on the , was a foundational member of the Uber team that created their ML platform, Michelangelo. Since his departure...
44 min
125
Exploring Causality and Community with Suzana I...
In this special #TWIMLfest episode, we’re joined by Suzana Ilić, a computational linguist at Causaly and founder of Machine Learning Tokyo (MLT). Suzana joined us as a keynote speaker to discuss the origins of the MLT community, but we cover a lot...
53 min
126
Decolonizing AI with Shakir Mohamed - #418
In this special #TWIMLfest edition of the podcast, we’re joined by Shakir Mohamed, a Senior Research Scientist at DeepMind. Shakir is also a leader of Deep Learning Indaba, a non-profit organization whose mission is to Strengthen African Machine...
53 min
127
Spatial Analysis for Real-Time Video Processing...
Today we’re joined by Adina Trufinescu, Principal Program Manager at Microsoft, to discuss some of the computer vision updates announced at Ignite 2020.  We focus on the technical innovations that went into their recently announced spatial...
38 min
128
How Deep Learning has Revolutionized OCR with C...
Today we’re joined by Cha Zhang, a Partner Engineering Manager at Microsoft Cloud & AI.  Cha’s work at MSFT is focused on exploring ways that new technologies can be applied to optical character recognition, or OCR, pushing the boundaries...
56 min
129
Machine Learning for Food Delivery at Global Sc...
In this special edition of the show, we discuss the various ways in which machine learning plays a role in helping businesses overcome their challenges in the food delivery space.  A few weeks ago Sam had the opportunity to moderate a panel at...
56 min
130
Open Source at Qualcomm AI Research with Jeff G...
Today we're joined by Jeff Gehlhaar, VP of Technology at Qualcomm, and Zahra Koochak, Staff Machine Learning Engineer at Qualcomm AI Research.  If you haven’t had a chance to listen to our first interview with Jeff, I encourage you to check it...
41 min
131
Visualizing Climate Impact with GANs w/ Sasha L...
Today we’re joined by Sasha Luccioni, a Postdoctoral Researcher at the MILA Institute, and moderator of our upcoming TWIMLfest Panel, ‘Machine Learning in the Fight Against Climate Change.’  We were first introduced to Sasha’s work...
40 min
132
ML-Powered Language Learning at Duolingo with B...
Today we’re joined by Burr Settles, Research Director at Duolingo. Most would acknowledge that one of the most effective ways to learn is one on one with a tutor, and Duolingo’s main goal is to replicate that at scale. In our conversation with...
54 min
133
Bridging The Gap Between Machine Learning and t...
Today we’re joined by Artur Yakimovich, Co-Founder at Artificial Intelligence for Life Sciences and a visiting scientist in the Lab for Molecular Cell Biology at University College London. In our conversation with Artur, we explore the gulf that...
39 min
134
Understanding Cultural Style Trends with Comput...
Today we’re joined by Kavita Bala, the Dean of Computing and Information Science at Cornell University.  Kavita, whose research explores the overlap of computer vision and computer graphics, joined us to discuss a few of her projects, including...
37 min
135
That's a VIBE: ML for Human Pose and Shape Esti...
Today we’re joined by Nikos Athanasiou, Muhammed Kocabas, Ph.D. students, and Michael Black, Director of the Max Planck Institute for Intelligent Systems.  We caught up with the group to explore their paper VIBE: Video Inference for Human Body...
42 min
136
3D Deep Learning with PyTorch 3D w/ Georgia Gki...
Today we’re joined by Georgia Gkioxari, a research scientist at Facebook AI Research.  Georgia was hand-picked by the TWIML community to discuss her work on the recently released open-source library PyTorch3D. In our conversation, Georgia...
34 min
137
What are the Implications of Algorithmic Thinki...
Today we’re joined by the legendary Michael I. Jordan, Distinguished Professor in the Departments of EECS and Statistics at UC Berkeley.  Michael was gracious enough to connect us all the way from Italy after being named recipient. In our...
55 min
138
Beyond Accuracy: Behavioral Testing of NLP Mode...
Today we’re joined by Sameer Singh, an assistant professor in the department of computer science at UC Irvine.  Sameer’s work centers on large-scale and interpretable machine learning applied to information extraction and natural language...
40 min
139
How Machine Learning Powers On-Demand Logistics...
Today we’re joined by Gary Ren, a machine learning engineer for the logistics team at DoorDash.  In our conversation, we explore how machine learning powers the entire logistics ecosystem. We discuss the stages of their “marketplace,” and...
42 min
140
Machine Learning as a Software Engineering Disc...
Today we’re joined by Dillon Erb, Co-founder & CEO of Paperspace. We’ve followed Paperspace since their origins offering GPU-enabled compute resources to data scientists and machine learning developers, to the release of their Jupyter-based...
43 min
141
AI and the Responsible Data Economy with Dawn S...
Today we’re joined by Professor of Computer Science at UC Berkeley, Dawn Song. Dawn’s research is centered at the intersection of AI, deep learning, security, and privacy. She’s currently focused on bringing these disciplines together with her...
52 min
142
Relational, Object-Centric Agents for Completin...
Today we’re joined by Wilka Carvalho, a PhD student at the University of Michigan, Ann Arbor. We first met Wilka at the Black in AI workshop at last year’s NeurIPS conference, and finally got a chance to catch up about his latest research, ‘.’...
40 min
143
Model Explainability Forum - #401
Today we’re bringing you the latest TWIML Discussion Series panel on Model Explainability. The use of machine learning in business, government, and other settings that require users to understand the model’s predictions has exploded in recent...
86 min
144
What NLP Tells Us About COVID-19 and Mental Hea...
Today we’re joined by Johannes Eichstaedt, an Assistant Professor of Psychology at Stanford University.  Johannes joined us at the outset of the coronavirus pandemic to discuss his use of Facebook and Twitter data to measure the psychological...
58 min
145
Human-AI Collaboration for Creativity with Devi...
Today we’re joined by Devi Parikh, Associate Professor at the School of Interactive Computing at Georgia Tech, and research scientist at Facebook AI Research (FAIR).  While Devi’s work is more broadly focused on computer vision applications,...
43 min
146
Neural Augmentation for Wireless Communication ...
Today we’re joined by Max Welling, Vice President of Technologies at Qualcomm Netherlands, and Professor at the University of Amsterdam. In case you missed it, Max joined us last year to discuss his work on  - the 2nd most popular episode of...
47 min
147
Quantum Machine Learning: The Next Frontier? wi...
Today we conclude our 2020 ICML coverage joined by Iordanis Kerenidis, Research Director at Centre National de la Recherche Scientifique (CNRS) in Paris, and Head of Quantum Algorithms at QC Ware. Iordanis’ research centers around quantum algorithms...
59 min
148
ML and Epidemiology with Elaine Nsoesie - #396
Today we continue our ICML series with Elaine Nsoesie, assistant professor at Boston University.  Elaine presented a keynote talk at the ML for Global Health workshop at ICML 2020, where she shared her research centered around data-driven...
45 min
149
Language (Technology) Is Power: Exploring the I...
Today we’re joined by Hal Daume III, professor at the University of Maryland, Senior Principal Researcher at Microsoft Research, and Co-Chair of the 2020 ICML Conference.  We had the pleasure of catching up with Hal ahead of this year's ICML to...
61 min
150
Graph ML Research at Twitter with Michael Brons...
Today we’re excited to be joined by return guest Michael Bronstein, Professor at Imperial College London, and Head of Graph Machine Learning at Twitter. We last spoke with Michael at NeurIPS in 2017 about .  Since then, his research focus has...
54 min
151
Panel: The Great ML Language (Un)Debate! - #393
Today we’re excited to bring ‘The Great ML Language (Un)Debate’ to the podcast! In the latest edition of our series of live discussions, we brought together experts and enthusiasts representing an array of both popular and emerging programming...
93 min
152
What the Data Tells Us About COVID-19 with Eric...
Today we’re joined by Eric Topol, Director & Founder of the Scripps Research Translational Institute, and author of the book Deep Medicine.  Eric is also one of the most trusted voices on the COVID-19 pandemic, giving those that follow his...
41 min
153
The Case for Hardware-ML Model Co-design with D...
Today we’re joined by Diana Marculescu, Department Chair and Professor of Electrical and Computer Engineering at University of Texas at Austin.  We caught up with Diana to discuss her work on hardware-aware machine learning. In particular, we...
44 min
154
Computer Vision for Remote AR with Flora Tasse ...
Today we conclude our CVPR coverage joined by Flora Tasse, Head of Computer Vision & AI Research at Streem.  Flora, a keynote speaker at the AR/VR workshop at CVPR, walks us through some of the interesting use cases at the intersection of AI,...
39 min
155
Deep Learning for Automatic Basketball Video Pr...
Today we return to our coverage of the 2020 CVPR conference with a conversation with Julian Quiroga, a Computer Vision Team Lead at Genius Sports. Julian presented his recent paper “n” at the CVSports workshop. We jump right into the paper,...
40 min
156
How External Auditing is Changing the Facial Re...
Today we’re taking a break from our CVPR coverage to bring you this interview with Deb Raji, a Technology Fellow at the AI Now Institute at New York University.  Over the past week or two, there have been quite a few major news stories in the...
79 min
157
AI for High-Stakes Decision Making with Hima La...
Today we’re joined by Hima Lakkaraju, an Assistant Professor at Harvard University with appointments in both the Business School and Department of Computer Science.  At CVPR, Hima was a keynote speaker at the Fair, Data-Efficient and Trusted...
44 min
158
Invariance, Geometry and Deep Neural Networks w...
We continue our CVPR coverage with today’s guest, Pavan Turaga, Associate Professor at Arizona State University, with dual appointments as the Director of the Geometric Media Lab, and Interim Director of the School of Arts, Media, and Engineering....
45 min
159
Channel Gating for Cheaper and More Accurate Ne...
Today we’re joined by Babak Ehteshami Bejnordi, a Research Scientist at Qualcomm. Babak works closely with former guest Max Welling and is currently focused on conditional computation, which is the main driver for today’s conversation. We dig into...
54 min
160
Machine Learning Commerce at Square with Marsal...
Today we’re joined by Marsal Gavalda, head of machine learning for the Commerce platform at Square.  Marsal, who hails from Barcelona, Catalonia, kicks off our conversation by indulging Sam in their shared love for language, which is what put...
50 min
161
Cell Exploration with ML at the Allen Institute...
Today we’re joined by Jianxu Chen, a scientist in the Assay Development group at the Allen Institute for Cell Science.  At the latest GTC conference, Jianxu presented his work on the Allen Cell Explorer Toolkit, an open-source project that...
43 min
162
Neural Arithmetic Units & Experiences as an Ind...
Today we’re joined by Andreas Madsen, an independent researcher based in Denmark whose research focuses on developing interpretable machine learning models.  While we caught up with Andreas to discuss his ICLR spotlight paper, “Neural...
30 min
163
2020: A Critical Inflection Point for Responsib...
Today we’re joined by Rumman Chowdhury, Managing Director and Global Lead of Responsible Artificial Intelligence at Accenture. In our conversation with Rumman, we explored questions like:  Why is now such a critical inflection point in the...
60 min
164
Panel: Advancing Your Data Science Career Durin...
Today we’re joined by Ana Maria Echeverri, Caroline Chavier, Hilary Mason, and Jacqueline Nolis, our guests for the recent Advancing Your Data Science Career During the Pandemic panel. In this conversation, we explore ways that Data Scientists and...
67 min
165
On George Floyd, Empathy, and the Road Ahead
Visit twimlai.com/blacklivesmatter for resources to support organizations pushing for social equity like Black Lives Matter, and groups offering relief for those jailed for exercising their rights to peaceful protest. 
6 min
166
Engineering a Less Artificial Intelligence with...
Today we’re joined by Andreas Tolias, Professor of Neuroscience at Baylor College of Medicine and Principal Investigator of the Neuroscience-Inspired Networks for Artificial Intelligence organization. We caught up with Andreas to discuss his recent...
45 min
167
Rethinking Model Size: Train Large, Then Compre...
Today we’re joined by Joseph Gonzalez, Assistant Professor in the EECS department at UC Berkeley.  Our main focus in the conversation is Joseph’s paper “Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference...
51 min
168
The Physics of Data with Alpha Lee - #377
Today we’re joined by Alpha Lee, Winton Advanced Fellow in the Department of Physics at the University of Cambridge, and Co-Founder of startup, PostEra. Our conversation centers around Alpha’s research which can be broken down into three main...
32 min
169
Is Linguistics Missing from NLP Research? w/ Em...
Today we’re joined by Emily M. Bender, Professor of Linguistics at the University of Washington.  Our discussion covers a lot of ground, but centers on the question, "Is Linguistics Missing from NLP Research?" We explore if we would be making...
51 min
170
Disrupting DeepFakes: Adversarial Attacks Again...
Today we’re joined by Nataniel Ruiz, a PhD Student in the Image & Video Computing group at Boston University.  We caught up with Nataniel to discuss his paper “Disrupting DeepFakes: Adversarial Attacks Against Conditional Image...
41 min
171
Understanding the COVID-19 Data Quality Problem...
Today we’re joined by Sherri Rose, Associate Professor at Harvard Medical School.  Sherri’s research centers around developing and integrating statistical machine learning approaches to improve human health. We cover a lot of ground in our...
43 min
172
The Whys and Hows of Managing Machine Learning ...
Today we’re joined by Lukas Biewald, founder and CEO of Weights & Biases, to discuss their new tool Artifacts, an end to end pipeline tracker. You might remember Lukas from his original interview with us towards the end of last year, for more...
53 min
173
Language Modeling and Protein Generation at Sal...
Today we’re joined Richard Socher, Chief Scientist and Executive VP at Salesforce. Richard, who has been at the forefront of Salesforce’s AI Research since they acquired his startup Metamind in 2016, and his team have been publishing a ton of...
41 min
174
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
175
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
176
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
177
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
178
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
179
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
180
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
181
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
182
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
183
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
184
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
185
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
186
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
187
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
188
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
189
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
190
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
191
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
192
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
193
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
194
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
195
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
196
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
197
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
198
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
199
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
200
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