The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

By Sam Charrington

Technology Tech News

What's The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) about?

This Week in Machine Learning & AI brings you the week’s most interesting and important stories from the worlds of machine learning and artificial intelligence. We discuss the latest developments in research, technology, and business and explore interesting projects from across the web.

Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.

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LAST EPISODE

AI for Ecology and Ecosyste...

01.21.2021

Today we’re joined by Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology & Head of the Tetrapod Division in the Museum of Biological Diversity at The Ohio State University. In our conversation with Bryan, who ...

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) episodes:

01.21.2021 AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449 Today we’re joined by Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology & Head of the Tetrapod Division in the Museum of Biological Diversity at The Ohio State University. In our conversation with Bryan, who ...
01.18.2021 Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448 Today we’re joined by Jason Gauci, a Software Engineering Manager at Facebook AI. In our conversation with Jason, we explore their Reinforcement Learning platform, Re-Agent (Horizon). We discuss the role of decision making and game theory in the platform and ...
01.14.2021 A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447 Today we’re joined by Saiph Savage, a Visiting professor at the Human-Computer Interaction Institute at CMU, director of the HCI Lab at WVU, and co-director of the Civic Innovation Lab at UNAM. We caught up with Saiph during NeurIPS where ...
01.11.2021 Trends in Graph Machine Learning with Michael Bronstein - #446 Today we’re back with the final episode of AI Rewind joined by Michael Bronstein, a professor at Imperial College London and the Head of Graph Machine Learning at Twitter. In our conversation with Michael, we touch on his thoughts about ...
01.07.2021 Trends in Natural Language Processing with Sameer Singh - #445 Today we continue the 2020 AI Rewind series, joined by friend of the show Sameer Singh, an Assistant Professor in the Department of Computer Science at UC Irvine. We last spoke with Sameer at our Natural Language Processing office hours ...
01.04.2021 Trends in Computer Vision with Pavan Turaga - #444 AI Rewind continues today as we’re joined by Pavan Turaga, Associate Professor in both the Departments of Arts, Media, and Engineering & Electrical Engineering, and the Interim Director of the School of Arts, Media, and Engineering at Arizona State University. ...
12.30.2020 Trends in Reinforcement Learning with Pablo Samuel Castro - #443 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 ...
12.28.2020 MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442 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 conversation, we explore ...
12.23.2020 Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441 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, You ...
12.21.2020 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 models, as well ...
12.18.2020 Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439 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 resurrection of R for ...
12.16.2020 ML Feature Store at Intuit with Srivathsan Canchi - #438 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 ...
12.14.2020 re:Invent Roundup 2020 with Swami Sivasubramanian - #437 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 advancements to SageMaker. ...
12.11.2020 Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436 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 ...
12.09.2020 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 understanding ...
12.07.2020 Benchmarking ML with MLCommons w/ Peter Mattson - #434 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 accelerating ...
12.03.2020 Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433 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. ...
11.30.2020 Feature Stores for Accelerating AI Development - #432 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 ...
11.27.2020 An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431 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 ...
11.23.2020 Common Sense as an Algorithmic Framework with Dileep George - #430 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 conversation, we ...
11.19.2020 Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429 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 conversation ...
11.16.2020 Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428 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 conversation with Devin, ...
11.12.2020 Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427 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 ...
11.09.2020 Fighting Global Health Disparities with AI w/ Jon Wang - #426 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 ...
11.05.2020 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 to participating ...
11.02.2020 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 ...
10.28.2020 The Future of Education and AI with Salman Khan - #423 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 ...
10.23.2020 Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422 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, we ...
10.21.2020 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 down ...
10.19.2020 Feature Stores for MLOps with Mike del Balso - #420 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 podcast, was a foundational member of the Uber team that created their ML platform, Michelangelo. Since his ...
10.16.2020 Exploring Causality and Community with Suzana Ilić - #419 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 ...
10.14.2020 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 Learning and ...
10.08.2020 Spatial Analysis for Real-Time Video Processing with Adina Trufinescu 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 analysis software, and the ...
10.05.2020 How Deep Learning has Revolutionized OCR with Cha Zhang - #416 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 of ...
10.02.2020 Machine Learning for Food Delivery at Global Scale - #415 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 ...
09.30.2020 Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414 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 ...
09.28.2020 Visualizing Climate Impact with GANs w/ Sasha Luccioni - #413 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 through her paper on ‘Visualizing ...
09.24.2020 ML-Powered Language Learning at Duolingo with Burr Settles - #412 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 ...
09.21.2020 Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411 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 exists between ...
09.17.2020 Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410 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 GrokStyle, a ...
09.14.2020 That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409 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 Pose and ...
09.10.2020 3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408 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 describes her experiences as a ...
09.07.2020 What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407 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 IEEE’s 2020 John von ...
09.03.2020 Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406 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 processing. We caught up with Sameer ...
08.31.2020 How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405 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 how using ML ...
08.27.2020 Machine Learning as a Software Engineering Discipline with Dillon Erb - #404 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 Gradient service. Our conversation with Dillon ...
08.24.2020 AI and the Responsible Data Economy with Dawn Song - #403 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 startup, Oasis Labs. ...
08.20.2020 Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402 Today we’re joined by Wilka Carvalho, a PhD student at the University of Michigan, Ann Arbor. In our conversation, we focus on his paper ‘ROMA: A Relational, Object-Model Learning Agent for Sample-Efficient Reinforcement Learning.’ In the paper, Wilka explores the ...
08.17.2020 Model Explainability Forum - #401 Today we bring you the latest Discussion Series: The Model Explainability Forum. Our group of experts and researchers explore the current state of explainability and discuss the key emerging ideas shaping the field. Each guest shares their unique perspective and ...
08.13.2020 What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400 Today we’re joined by Johannes Eichstaedt, an Assistant Professor of Psychology at Stanford University. In our conversation, we explore how Johannes applies his physics background to a career as a computational social scientist, some of the major patterns in the ...

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