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?

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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Applied AI/ML Research at P...

09.26.2022

Today we’re joined by Vidyut Naware, the director of machine learning and artificial intelligence at Paypal. As the leader of the ML/AI organization at Paypal, Vidyut is responsible for all things applied, from R&D to MLOps infrastructure. In our conversation, ...

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

09.26.2022 Applied AI/ML Research at PayPal with Vidyut Naware - #593 Today we’re joined by Vidyut Naware, the director of machine learning and artificial intelligence at Paypal. As the leader of the ML/AI organization at Paypal, Vidyut is responsible for all things applied, from R&D to MLOps infrastructure. In our conversation, ...
09.19.2022 Assessing Data Quality at Shopify with Wendy Foster - #592 Today we’re back with another installment of our Data-Centric AI series, joined by Wendy Foster, a director of engineering & data science at Shopify. In our conversation with Wendy, we explore the differences between data-centric and model-centric approaches and how ...
09.12.2022 Transformers for Tabular Data at Capital One with Bayan Bruss - #591 Today we’re joined by Bayan Bruss, a Sr. director of applied ML research at Capital One. In our conversation with Bayan, we dig into his work in applying various deep learning techniques to tabular data, including taking advancements made in ...
09.05.2022 Understanding Collective Insect Communication with ML, w/ Orit Peleg - #590 Today we’re joined by Orit Peleg, an assistant professor at the University of Colorado, Boulder. Orit’s work focuses on understanding the behavior of disordered living systems, by merging tools from physics, biology, engineering, and computer science. In our conversation, we ...
08.29.2022 Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589 In this extra special episode of the TWIML AI Podcast, a friend of the show John Bohannon leads a jam-packed conversation with Hugging Face’s recently appointed head of research Douwe Kiela. In our conversation with Douwe, we explore his role ...
08.22.2022 Synthetic Data Generation for Robotics with Bill Vass - #588 Today we’re joined by Bill Vass, a VP of engineering at Amazon Web Services. Bill spoke at the most recent AWS re:MARS conference, where he delivered an engineering Keynote focused on some recent updates to Amazon sagemaker, including its support ...
08.15.2022 Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587 Today we’re joined by Jeff Gehlhaar, vice president of technology at Qualcomm Technologies. In our annual conversation with Jeff, we dig into the relationship between Jeff’s team on the product side and the research team, many of whom we’ve had ...
08.08.2022 Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586 Today we close out our ICML 2022 coverage joined by Sharad Goel, a professor of public policy at Harvard University. In our conversation with Sharad, we discuss his Outstanding Paper award winner Causal Conceptions of Fairness and their Consequences, which ...
08.01.2022 Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585 Today we continue our ICML coverage joined by Melika Payvand, a research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Melika spoke at the Hardware Aware Efficient Training (HAET) Workshop, delivering a keynote on ...
07.25.2022 Equivariant Priors for Compressed Sensing with Arash Behboodi - #584 Today we’re joined by Arash Behboodi, a machine learning researcher at Qualcomm Technologies. In our conversation with Arash, we explore his paper Equivariant Priors for Compressed Sensing with Unknown Orientation, which proposes using equivariant generative models as a prior means ...
07.18.2022 Managing Data Labeling Ops for Success with Audrey Smith - #583 Today we continue our Data-Centric AI Series joined by Audrey Smith, the COO at MLtwist, and a recent participant in our panel on DCAI. In our conversation, we do a deep dive into data labeling for ML, exploring the typical ...
07.11.2022 Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582 Today we’re joined by Richard Socher, the CEO of You.com. In our conversation with Richard, we explore the inspiration and motivation behind the You.com search engine, and how it differs from the traditional google search engine experience. We discuss some ...
07.04.2022 On The Path Towards Robot Vision with Aljosa Osep - #581 Today we wrap up our coverage of the 2022 CVPR conference joined by Aljosa Osep, a postdoc at the Technical University of Munich & Carnegie Mellon University. In our conversation with Aljosa, we explore his broader research interests in achieving ...
06.27.2022 More Language, Less Labeling with Kate Saenko - #580 Today we continue our CVPR series joined by Kate Saenko, an associate professor at Boston University and a consulting professor for the MIT-IBM Watson AI Lab. In our conversation with Kate, we explore her research in multimodal learning, which she ...
06.20.2022 Optical Flow Estimation, Panoptic Segmentation, and Vision Transformers with Fatih Porikli - #579 Today we kick off our annual coverage of the CVPR conference joined by Fatih Porikli, Senior Director of Engineering at Qualcomm AI Research. In our conversation with Fatih, we explore a trio of CVPR-accepted papers, as well as a pair ...
06.13.2022 Data Governance for Data Science with Adam Wood - #578 Today we’re joined by Adam Wood, Director of Data Governance and Data Quality at Mastercard. In our conversation with Adam, we explore the challenges that come along with data governance at a global scale, including dealing with regional regulations like ...
06.06.2022 Feature Platforms for Data-Centric AI with Mike Del Balso - #577 In the latest installment of our Data-Centric AI series, we’re joined by a friend of the show Mike Del Balso, Co-founder and CEO of Tecton. If you’ve heard any of our other conversations with Mike, you know we spend a ...
05.30.2022 The Fallacy of "Ground Truth" with Shayan Mohanty - #576 Today we continue our Data-centric AI series joined by Shayan Mohanty, CEO at Watchful. In our conversation with Shayan, we focus on the data labeling aspect of the machine learning process, and ways that a data-centric approach could add value ...
05.23.2022 Principle-centric AI with Adrien Gaidon - #575 This week, we continue our conversations around the topic of Data-Centric AI joined by a friend of the show Adrien Gaidon, the head of ML research at the Toyota Research Institute (TRI). In our chat, Adrien expresses a fourth, somewhat ...
05.19.2022 Data Debt in Machine Learning with D. Sculley - #574 Today we kick things off with a conversation with D. Sculley, a director on the Google Brain team. Many listeners of today’s show will know D. from his work on the paper, The Hidden Technical Debt in Machine Learning Systems, ...
05.16.2022 AI for Enterprise Decisioning at Scale with Rob Walker - #573 Today we’re joined by Rob Walker, VP of decisioning & analytics and gm of one-to-one customer engagement at Pegasystems. Rob, who you might know from his previous appearances on the podcast, joins us to discuss his work on AI and ...
05.12.2022 Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572 Today we close out our coverage of the ICLR series joined by Meg Mitchell, chief ethics scientist and researcher at Hugging Face. In our conversation with Meg, we discuss her participation in the WikiM3L Workshop, as well as her transition ...
05.09.2022 Studying Machine Intelligence with Been Kim - #571 Today we continue our ICLR coverage joined by Been Kim, a staff research scientist at Google Brain, and an ICLR 2022 Invited Speaker. Been, whose research has historically been focused on interpretability in machine learning, delivered the keynote Beyond interpretability: ...
05.02.2022 Advances in Neural Compression with Auke Wiggers - #570 Today we’re joined by Auke Wiggers, an AI research scientist at Qualcomm. In our conversation with Auke, we discuss his team’s recent research on data compression using generative models. We discuss the relationship between historical compression research and the current ...
04.25.2022 Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569 Today we’re joined by Irwan Bello, formerly a research scientist at Google Brain, and now on the founding team at a stealth AI startup. We begin our conversation with an exploration of Irwan’s recent paper, Designing Effective Sparse Expert Models, ...
04.18.2022 Daring to DAIR: Distributed AI Research with Timnit Gebru - #568 Today we’re joined by friend of the show Timnit Gebru, the founder and executive director of DAIR, the Distributed Artificial Intelligence Research Institute. In our conversation with Timnit, we discuss her journey to create DAIR, their goals and some of ...
04.11.2022 Hierarchical and Continual RL with Doina Precup - #567 Today we’re joined by Doina Precup, a research team lead at DeepMind Montreal, and a professor at McGill University. In our conversation with Doina, we discuss her recent research interests, including her work in hierarchical reinforcement learning, with the goal ...
04.04.2022 Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566 Today we’re joined by Bharath Ramsundar, founder and CEO of Deep Forest Sciences. In our conversation with Bharath, we explore his work on the DeepChem, an open-source library for drug discovery, materials science, quantum chemistry, and biology tools. We discuss ...
03.28.2022 Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565 Today we’re joined by Sebastian Raschka, an assistant professor at the University of Wisconsin-Madison and lead AI educator at Grid.ai. In our conversation with Sebastian, we explore his work around AI education, including the “hands-on” philosophy that he takes when ...
03.21.2022 Big Science and Embodied Learning at Hugging Face Today we’re joined by Thomas Wolf, co-founder and chief science officer at Hugging Face
03.14.2022 Full-Stack AI Systems Development with Murali Akula - #563 Today we’re joined by Murali Akula, a Sr. director of Software Engineering at Qualcomm. In our conversation with Murali, we explore his role at Qualcomm, where he leads the corporate research team focused on the development and deployment of AI ...
03.07.2022 100x Improvements in Deep Learning Performance with Sparsity, w/ Subutai Ahmad - #562 Today we’re joined by Subutai Ahmad, VP of research at Numenta. While we’ve had numerous conversations about the biological inspirations of deep learning models with folks working at the intersection of deep learning and neuroscience, we dig into uncharted territory ...
02.28.2022 Scaling BERT and GPT for Financial Services with Jennifer Glore - #561 Today we’re joined by Jennifer Glore, VP of customer engineering at SambaNova Systems. In our conversation with Jennifer, we discuss how, and why, Sambanova, who is primarily focused on building hardware to support machine learning applications, has built a GPT ...
02.21.2022 Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560 Today we’re joined by Kamyar Azizzadenesheli, an assistant professor at Purdue University, to close out our AI Rewind 2021 series! In this conversation, we focused on all things deep reinforcement learning, starting with a general overview of the direction of ...
02.14.2022 Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559 Today we’re joined by Rishabh Agarwal, a research scientist at Google Brain in Montreal. In our conversation with Rishabh, we discuss his recent paper Deep Reinforcement Learning at the Edge of the Statistical Precipice, which won an outstanding paper award ...
02.07.2022 Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558 Today we’re joined by Rafael Gomez-Bombarelli, an assistant professor in the department of material science and engineering at MIT. In our conversation with Rafa, we explore his goal of fusing machine learning and atomistic simulations for designing materials, a topic ...
01.31.2022 Differentiable Programming for Oceanography with Patrick Heimbach - #557 Today we’re joined by Patrick Heimbach, a professor at the University of Texas working at the intersection of ML and oceanography. In our conversation with Patrick, we explore some of the challenges of computational oceanography, the potential use cases for ...
01.27.2022 Trends in Machine Learning & Deep Learning with Zachary Lipton - #556 Today we continue our AI Rewind 2021 series joined by a friend of the show, assistant professor at Carnegie Mellon University, and AI Rewind veteran, Zack Lipton! In our conversation with Zack, we touch on recurring themes like “NLP Eating ...
01.24.2022 Solving the Cocktail Party Problem with Machine Learning, w/ ‪Jonathan Le Roux - #555 Today we’re joined by Jonathan Le Roux, a senior principal research scientist at Mitsubishi Electric Research Laboratories (MERL). At MERL, Jonathan and his team are focused on using machine learning to solve the “cocktail party problem”, focusing on not only ...
01.20.2022 Machine Learning for Earthquake Seismology with Karianne Bergen - #554 Today we’re joined by Karianne Bergen, an assistant professor at Brown University. In our conversation with Karianne, we explore her work at the intersection of earthquake seismology and machine learning, where she’s working on interpretable data classification for seismology. We ...
01.17.2022 The New DBfication of ML/AI with Arun Kumar - #553 Today we’re joined by Arun Kumarm, an associate professor at UC San Diego. We had the pleasure of catching up with Arun prior to the Workshop on Databases and AI at NeurIPS 2021, where he delivered the talk “The New ...
01.13.2022 Building Public Interest Technology with Meredith Broussard - #552 Today we’re joined by Meredith Broussard, an associate professor at NYU & research director at the NYU Alliance for Public Interest Technology. Meredith was a keynote speaker at the recent NeurIPS conference, and we had the pleasure of speaking with ...
01.10.2022 A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551 Today we’re joined by Sebastian Bubeck a sr principal research manager at Microsoft, and author of the paper A Universal Law of Robustness via Isoperimetry, a NeurIPS 2021 Outstanding Paper Award recipient. We begin our conversation with Sebastian with a ...
01.06.2022 Trends in NLP with John Bohannon - #550 Today we’re joined by friend of the show John Bohannon, the director of science at Primer AI, to help us showcase all of the great achievements and accomplishments in NLP in 2021! In our conversation, John shares his two major ...
01.03.2022 Trends in Computer Vision with Georgia Gkioxari - #549 Happy New Year! We’re excited to kick off 2022 joined by Georgia Gkioxari, a research scientist at Meta AI, to showcase the best advances in the field of computer vision over the past 12 months, and what the future holds ...
12.27.2021 Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548 Today we close out the 2021 NeurIPS series joined by Alison Gopnik, a professor at UC Berkeley and an invited speaker at the Causal Inference & Machine Learning: Why now? Workshop. In our conversation with Alison, we explore the question, ...
12.23.2021 Hypergraphs, Simplicial Complexes and Graph Representations of Complex Systems with Tina Eliassi-Rad - #547 Today we continue our NeurIPS coverage joined by Tina Eliassi-Rad, a professor at Northeastern University, and an invited speaker at the I Still Can't Believe It's Not Better! Workshop. In our conversation with Tina, we explore her research at the ...
12.20.2021 Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546 Today we’re excited to kick off our annual NeurIPS, joined by Oriol Vinyals, the lead of the deep learning team at Deepmind. We cover a lot of ground in our conversation with Oriol, beginning with a look at his research ...
12.16.2021 Optimization, Machine Learning and Intelligent Experimentation with Michael McCourt - #545 Today we’re joined by Michael McCourt the head of engineering at SigOpt. In our conversation with Michael, we explore the vast space around the topic of optimization, including the technical differences between ML and optimization and where they’re applied, what ...
12.13.2021 Jupyter and the Evolution of ML Tooling with Brian Granger - #544 Today we conclude our AWS re:Invent coverage joined by Brian Granger, a senior principal technologist at Amazon Web Services, and a co-creator of Project Jupyter. In our conversion with Brian, we discuss the inception and early vision of Project Jupyter, ...

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