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

Building a Unified NLP Fram...

05.06.2021

Today we’re joined by Huiji Gao, a Senior Engineering Manager of Machine Learning and AI at LinkedIn. In our conversation with Huiji, we dig into his interest in building NLP tools and systems, including a recent open-source project called DeText, ...

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

05.06.2021 Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481 Today we’re joined by Huiji Gao, a Senior Engineering Manager of Machine Learning and AI at LinkedIn. In our conversation with Huiji, we dig into his interest in building NLP tools and systems, including a recent open-source project called DeText, ...
05.03.2021 Dask + Data Science Careers with Jacqueline Nolis - #480 Today we’re joined by Jacqueline Nolis, Head of Data Science at Saturn Cloud, and co-host of the Build a Career in Data Science Podcast. You might remember Jacqueline from our Advancing Your Data Science Career During the Pandemic panel, where ...
04.29.2021 Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479 Today we’re joined by Irene Chen, a Ph.D. student at MIT. Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity and inclusion. In our conversation, we explore some of ...
04.26.2021 AI Storytelling Systems with Mark Riedl - #478 Today we’re joined by Mark Riedl, a Professor in the School of Interactive Computing at Georgia Tech. In our conversation with Mark, we explore his work building AI storytelling systems, mainly those that try and predict what listeners think will ...
04.21.2021 Creating Robust Language Representations with Jamie Macbeth - #477 Today we’re joined by Jamie Macbeth, an assistant professor in the department of computer science at Smith College. In our conversation with Jamie, we explore his work at the intersection of cognitive systems and natural language understanding, and how to ...
04.19.2021 Reinforcement Learning for Industrial AI with Pieter Abbeel - #476 Today we’re joined by Pieter Abbeel, a Professor at UC Berkeley, co-Director of the Berkeley AI Research Lab (BAIR), as well as Co-founder and Chief Scientist at Covariant. In our conversation with Pieter, we cover a ton of ground, starting ...
04.15.2021 AutoML for Natural Language Processing with Abhishek Thakur - #475 Today we’re joined by Abhishek Thakur, a machine learning engineer at Hugging Face, and the world’s first Quadruple Kaggle Grandmaster! In our conversation with Abhishek, we explore his Kaggle journey, including how his approach to competitions has evolved over time, ...
04.12.2021 Inclusive Design for Seeing AI with Saqib Shaikh - #474 Today we’re joined by Saqib Shaikh, a Software Engineer at Microsoft, and the lead for the Seeing AI Project. In our conversation with Saqib, we explore the Seeing AI app, an app “that narrates the world around you.” We discuss ...
04.08.2021 Theory of Computation with Jelani Nelson - #473 Today we’re joined by Jelani Nelson, a professor in the Theory Group at UC Berkeley. In our conversation with Jelani, we explore his research in computational theory, where he focuses on building streaming and sketching algorithms, random projections, and dimensionality ...
04.05.2021 Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472 Today we’re joined by Stevie Chancellor, an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota. In our conversation with Stevie, we explore her work at the intersection of human-centered computing, machine learning, and ...
04.01.2021 Operationalizing AI at Dataiku with Conor Jensen - #471 In this episode, we’re joined by Dataiku’s Director of Data Science, Conor Jensen. In our conversation, we explore the panel he lead at TWIMLcon “AI Operationalization: Where the AI Rubber Hits the Road for the Enterprise,” discussing the ML journey ...
04.01.2021 ML Lifecycle Management at Algorithmia with Diego Oppenheimer - #470 In this episode, we’re joined by Diego Oppenheimer, Founder and CEO of Algorithmia. In our conversation, we discuss Algorithmia’s involvement with TWIMLcon, as well as an exploration of the results of their recently conducted survey on the state of the ...
03.29.2021 End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series] In this episode, we’re joined by Santiago Giraldo, Director Of Product Marketing for Data Engineering & Machine Learning at Cloudera. In our conversation, we discuss Cloudera’s talks at TWIMLcon, as well as their various research efforts from their Fast Forward ...
03.29.2021 ML Platforms for Global Scale at Prosus with Paul van der Boor - #468 [TWIMLcon Sponsor Series] In this episode, we’re joined by Paul van der Boor, Senior Director of Data Science at Prosus, to discuss his TWIMLcon experience and how they’re using ML platforms to manage machine learning at a global scale. The complete show notes ...
03.24.2021 Can Language Models Be Too Big? Today we’re joined by Emily M. Bender, Professor at the University of Washington, and AI Researcher, Margaret Mitchell. Emily and Meg, as well as Timnit Gebru and Angelina McMillan-Major, are co-authors on the paper On the Dangers of Stochastic Parrots: ...
03.22.2021 Applying RL to Real-World Robotics with Abhishek Gupta - #466 Today we’re joined by Abhishek Gupta, a PhD Student at UC Berkeley. Abhishek, a member of the BAIR Lab, joined us to talk about his recent robotics and reinforcement learning research and interests, which focus on applying RL to real-world ...
03.18.2021 Accelerating Innovation with AI at Scale with David Carmona - #465 Today we’re joined by David Carmona, General Manager of Artificial Intelligence & Innovation at Microsoft. In our conversation with David, we focus on his work on AI at Scale, an initiative focused on the change in the ways people are ...
03.15.2021 Complexity and Intelligence with Melanie Mitchell - #464 Today we’re joined by Melanie Mitchell, Davis Professor at the Santa Fe Institute and author of Artificial Intelligence: A Guide for Thinking Humans. While Melanie has had a long career with a myriad of research interests, we focus on a ...
03.11.2021 Robust Visual Reasoning with Adriana Kovashka - #463 Today we’re joined by Adriana Kovashka, an Assistant Professor at the University of Pittsburgh. In our conversation with Adriana, we explore her visual commonsense research, and how it intersects with her background in media studies. We discuss the idea of ...
03.08.2021 Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462 Today we’re joined by Nishan Subedi, VP of Algorithms at Overstock.com. In our conversation with Nishan, we discuss his interesting path to MLOps and how ML/AI is used at Overstock, primarily for search/recommendations and marketing/advertisement use cases. We spend a ...
03.04.2021 Common Sense Reasoning in NLP with Vered Shwartz - #461 Today we’re joined by Vered Shwartz, a Postdoctoral Researcher at both the Allen Institute for AI and the Paul G. Allen School of Computer Science & Engineering at the University of Washington. In our conversation with Vered, we explore her ...
03.01.2021 How to Be Human in the Age of AI with Ayanna Howard - #460 Today we’re joined by returning guest and newly appointed Dean of the College of Engineering at The Ohio State University, Ayanna Howard. Our conversation with Dr. Howard focuses on her recently released book, Sex, Race, and Robots: How to Be ...
02.25.2021 Evolution and Intelligence with Penousal Machado - #459 Today we’re joined by Penousal Machado, Associate Professor and Head of the Computational Design and Visualization Lab in the Center for Informatics at the University of Coimbra. In our conversation with Penousal, we explore his research in Evolutionary Computation, and ...
02.22.2021 Innovating Neural Machine Translation with Arul Menezes - #458 Today we’re joined by Arul Menezes, a Distinguished Engineer at Microsoft. Arul, a 30 year veteran of Microsoft, manages the machine translation research and products in the Azure Cognitive Services group. In our conversation, we explore the historical evolution of ...
02.18.2021 Building the Product Knowledge Graph at Amazon with Luna Dong - #457 Today we’re joined by Luna Dong, Sr. Principal Scientist at Amazon. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throughout it. We also talk through the differences and ...
02.15.2021 Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456 Today we’re joined by Sarah Brown, an Assistant Professor of Computer Science at the University of Rhode Island. In our conversation with Sarah, whose research focuses on Fairness in AI, we discuss why a “systems-level” approach is necessary when thinking ...
02.11.2021 AI for Digital Health Innovation with Andrew Trister - #455 Today we’re joined by Andrew Trister, Deputy Director for Digital Health Innovation at the Bill & Melinda Gates Foundation. In our conversation with Andrew, we explore some of the AI use cases at the foundation, with the goal of bringing ...
02.08.2021 System Design for Autonomous Vehicles with Drago Anguelov - #454 Today we’re joined by Drago Anguelov, Distinguished Scientist and Head of Research at Waymo. In our conversation, we explore the state of the autonomous vehicles space broadly and at Waymo, including how AV has improved in the last few years, ...
02.04.2021 Building, Adopting, and Maturing LinkedIn's Machine Learning Platform with Ya Xu - #453 Today we’re joined by Ya Xu, head of Data Science at LinkedIn, and TWIMLcon: AI Platforms 2021 Keynote Speaker. We cover a ton of ground with Ya, starting with her experiences prior to becoming Head of DS, as one of ...
02.01.2021 Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452 Today we’re joined by Jesse Engel, Staff Research Scientist at Google, working on the Magenta Project. In our conversation with Jesse, we explore the current landscape of creativity AI, and the role Magenta plays in helping express creativity through ML ...
01.29.2021 Semantic Folding for Natural Language Understanding with Francisco Weber - #451 Today we’re joined by return guest Francisco Webber, CEO & Co-founder of Cortical.io. Francisco was originally a guest over 4 years and 400 episodes ago, where we discussed his company Cortical.io, and their unique approach to natural language processing. In ...
01.25.2021 The Future of Autonomous Systems with Gurdeep Pall - #450 Today we’re joined by Gurdeep Pall, Corporate Vice President at Microsoft. Gurdeep, who we had the pleasure of speaking with on his 31st anniversary at the company, has had a hand in creating quite a few influential projects, including Skype ...
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 ...

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