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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Watermarking Large Language...

03.20.2023

Today we’re joined by Tom Goldstein, an associate professor at the University of Maryland. Tom’s research sits at the intersection of ML and optimization and has previously been featured in the New Yorker for his work on invisibility cloaks, clothing ...

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

03.20.2023 Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621 Today we’re joined by Tom Goldstein, an associate professor at the University of Maryland. Tom’s research sits at the intersection of ML and optimization and has previously been featured in the New Yorker for his work on invisibility cloaks, clothing ...
03.13.2023 Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620 Today we’re joined by Anna Ivanova, a postdoctoral researcher at MIT Quest for Intelligence. In our conversation with Anna, we discuss her recent paper Dissociating language and thought in large language models: a cognitive perspective. In the paper, Anna reviews ...
03.06.2023 Robotic Dexterity and Collaboration with Monroe Kennedy III - #619 Today we’re joined by Monroe Kennedy III, an assistant professor at Stanford, director of the Assistive Robotics and Manipulation Lab, and a national director of Black in Robotics. In our conversation with Monroe, we spend some time exploring the robotics ...
02.27.2023 Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618 Today we’re joined by Nicholas Carlini, a research scientist at Google Brain. Nicholas works at the intersection of machine learning and computer security, and his recent paper “Extracting Training Data from LLMs” has generated quite a buzz within the ML ...
02.20.2023 Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617 Today we’re joined by Vinodkumar Prabhakaran, a Senior Research Scientist at Google Research. In our conversation with Vinod, we discuss his two main areas of research, using ML, specifically NLP, to explore these social disparities, and how these same social ...
02.14.2023 AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616 Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, to break down the latest trends in the world of causal modeling. In our conversation with Robert, we explore advances in areas like causal discovery, causal representation ...
02.06.2023 Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615 Today we’re joined by Dimitris Zermas, a principal scientist at agriscience company Sentera. Dimitris’ work at Sentera is focused on developing tools for precision agriculture using machine learning, including hardware like cameras and sensors, as well as ML models for ...
01.30.2023 How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614 Today we’re joined by Anima Anandkumar, Bren Professor of Computing And Mathematical Sciences at Caltech and Sr Director of AI Research at NVIDIA. In our conversation, we take a broad look at the emerging field of AI for Science, focusing ...
01.23.2023 AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613 Today we continue our AI Trends 2023 series joined by Sameer Singh, an associate professor in the department of computer science at UC Irvine and fellow at the Allen Institute for Artificial Intelligence (AI2). In our conversation with Sameer, we ...
01.16.2023 AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612 Today we’re taking a deep dive into the latest and greatest in the world of Reinforcement Learning with our friend Sergey Levine, an associate professor, at UC Berkeley. In our conversation with Sergey, we explore some game-changing developments in the ...
01.09.2023 Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611 Today we conclude our coverage of the 2022 NeurIPS series joined by Catherine Nakalembe, an associate research professor at the University of Maryland, and Africa Program Director under NASA Harvest. In our conversation with Catherine, we take a deep dive ...
01.02.2023 Service Cards and ML Governance with Michael Kearns - #610 Today we conclude our AWS re:Invent 2022 series joined by Michael Kearns, a professor in the department of computer and information science at UPenn, as well as an Amazon Scholar. In our conversation, we briefly explore Michael’s broader research interests ...
12.29.2022 Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609 Today we continue our NeurIPS 2022 series joined by Tony Jebara, VP of engineering and head of machine learning at Spotify. In our conversation with Tony, we discuss his role at Spotify and how the company’s use of machine learning ...
12.26.2022 Will ChatGPT take my job? - #608 More than any system before it, ChatGPT has tapped into our enduring fascination with artificial intelligence, raising in a more concrete and present way important questions and fears about what AI is capable of and how it will impact us ...
12.22.2022 Geospatial Machine Learning at AWS with Kumar Chellapilla - #607 Today we continue our re:Invent 2022 series joined by Kumar Chellapilla, a general manager of ML and AI Services at AWS. We had the opportunity to speak with Kumar after announcing their recent addition of geospatial data to the SageMaker ...
12.19.2022 Real-Time ML Workflows at Capital One with Disha Singla - #606 Today we’re joined by Disha Singla, a senior director of machine learning engineering at Capital One. In our conversation with Disha, we explore her role as the leader of the Data Insights team at Capital One, where they’ve been tasked ...
12.15.2022 Weakly Supervised Causal Representation Learning with Johann Brehmer - #605 Today we’re excited to kick off our coverage of the 2022 NeurIPS conference with Johann Brehmer, a research scientist at Qualcomm AI Research in Amsterdam. We begin our conversation discussing some of the broader problems that causality will help us ...
12.12.2022 Stable Diffusion & Generative AI with Emad Mostaque - #604 Today we’re excited to kick off our 2022 AWS re:Invent series with a conversation with Emad Mostaque, Founder and CEO of Stability.ai. Stability.ai is a very popular name in the generative AI space at the moment, having taken the internet ...
12.08.2022 Exploring Large Language Models with ChatGPT - #603 Today we're joined by ChatGPT, the latest and coolest large language model developed by OpenAl. In our conversation with ChatGPT, we discuss the background and capabilities of large language models, the potential applications of these models, and some of the ...
12.05.2022 Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602 Are AI-generating algorithms the path to artificial general intelligence(AGI)? Today we’re joined by Jeff Clune, an associate professor of computer science at the University of British Columbia, and faculty member at the Vector Institute. In our conversation with Jeff, we ...
11.28.2022 Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601 Today we’re joined by Cedric Cocaud, the chief engineer of the Wayfinder Group at Acubed, the innovation center for aircraft manufacturer Airbus. In our conversation with Cedric, we explore some of the technical challenges of innovation in the aircraft space, ...
11.21.2022 Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600 Today we’re joined by Heather Nolis, a principal machine learning engineer at T-Mobile. In our conversation with Heather, we explored her machine learning journey at T-Mobile, including their initial proof of concept project, which held the goal of putting their ...
11.14.2022 Sim2Real and Optimus, the Humanoid Robot with Ken Goldberg - #599 Today we’re joined by return guest Ken Goldberg, a professor at UC Berkeley and the chief scientist at Ambi Robotics. It’s been a few years since our initial conversation with Ken, so we spent a bit of time talking through ...
11.07.2022 The Evolution of the NLP Landscape with Oren Etzioni - #598 Today friend of the show and esteemed guest host John Bohannon is back with another great interview, this time around joined by Oren Etzioni, former CEO of the Allen Institute for AI, where he is currently an advisor. In our ...
10.31.2022 Live from TWIMLcon! The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools - #597 Over the last few years, it’s been established that your ML team needs at least some basic tooling in order to be effective, providing support for various aspects of the machine learning workflow, from data acquisition and management, to model ...
10.24.2022 Live from TWIMLcon! You're not Facebook. Architecting MLOps for B2B Use Cases with Jacopo Tagliabue - #596 Much of the way we talk and think about MLOps comes from the perspective of large consumer internet companies like Facebook or Google. If you work at a FAANG company, these approaches might work well for you. But what about ...
10.17.2022 Building Foundational ML Platforms with Kubernetes and Kubeflow with Ali Rodell - #595 Today we’re joined by Ali Rodell, a senior director of machine learning engineering at Capital One. In our conversation with Ali, we explore his role as the head of model development platforms at Capital One, including how his 25+ years ...
10.10.2022 AI-Powered Peer Programming with Vasi Philomin - #594 Today we’re joined by Vasi Philomin, vice president of AI services at AWS, joins us for our first in-person interview since 2019! In our conversation with Vasi, we discussed the recently released Amazon Code Whisperer, a developer-focused coding companion. We ...
10.03.2022 The Top 10 Reasons to Register for TWIMLcon: AI Platforms 2022! TWIMLcon: AI Platforms 2022 is just a day away! If you're interested in all things MLOps and Platforms/Infrastructure technology, this is the event for you! Register now at https://twimlcon.com/attend for FREE!
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 ...

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