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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Pushing Back on AI Hype wit...

10.02.2023

Today we’re joined by Alex Hanna, the Director of Research at the Distributed AI Research Institute (DAIR). In our conversation with Alex, we discuss the topic of AI hype and the importance of tackling the issues and impacts it has ...

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

10.02.2023 Pushing Back on AI Hype with Alex Hanna - #649 Today we’re joined by Alex Hanna, the Director of Research at the Distributed AI Research Institute (DAIR). In our conversation with Alex, we discuss the topic of AI hype and the importance of tackling the issues and impacts it has ...
09.25.2023 Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648 Today we’re joined by Nataniel Ruiz, a research scientist at Google. In our conversation with Nataniel, we discuss his recent work around personalization for text-to-image AI models. Specifically, we dig into DreamBooth, an algorithm that enables “subject-driven generation,” that is, ...
09.18.2023 Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647 Today we’re joined by Shreya Rajpal, founder and CEO of Guardrails AI. In our conversation with Shreya, we discuss ensuring the safety and reliability of language models for production applications. We explore the risks and challenges associated with these models, ...
09.11.2023 What’s Next in LLM Reasoning? with Roland Memisevic - #646 Today we’re joined by Roland Memisevic, a senior director at Qualcomm AI Research. In our conversation with Roland, we discuss the significance of language in humanlike AI systems and the advantages and limitations of autoregressive models like Transformers in building ...
09.04.2023 Is ChatGPT Getting Worse? with James Zou - #645 Today we’re joined by James Zou, an assistant professor at Stanford University. In our conversation with James, we explore the differences in ChatGPT’s behavior over the last few months. We discuss the issues that can arise from inconsistencies in generative ...
08.28.2023 Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644 Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural representations and deep neural networks, and how these principles of efficiency ...
08.21.2023 Inverse Reinforcement Learning Without RL with Gokul Swamy - #643 Today we’re joined by Gokul Swamy, a Ph.D. Student at the Robotics Institute at Carnegie Mellon University. In the final conversation of our ICML 2023 series, we sat down with Gokul to discuss his accepted papers at the event, leading ...
08.14.2023 Explainable AI for Biology and Medicine with Su-In Lee - #642 Today we’re joined by Su-In Lee, a professor at the Paul G. Allen School of Computer Science And Engineering at the University Of Washington. In our conversation, Su-In details her talk from the ICML 2023 Workshop on Computational Biology which ...
08.07.2023 Transformers On Large-Scale Graphs with Bayan Bruss - #641 Today we’re joined by Bayan Bruss, Vice President of Applied ML Research at Capital One. In our conversation with Bayan, we covered a pair of papers his team presented at this year’s ICML conference. We begin with the paper Interpretable ...
07.31.2023 The Enterprise LLM Landscape with Atul Deo - #640 Today we’re joined by Atul Deo, General Manager of Amazon Bedrock. In our conversation with Atul, we discuss the process of training large language models in the enterprise, including the pain points of creating and training machine learning models, and ...
07.24.2023 BloombergGPT - an LLM for Finance with David Rosenberg - #639 Today we’re joined by David Rosenberg, head of the machine learning strategy team in the Office of the CTO at Bloomberg. In our conversation with David, we discuss the creation of BloombergGPT, a custom-built LLM focused on financial applications. We ...
07.17.2023 Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638 Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, Professor at Northeastern University, and Founder of Altdeep.ai. In our conversation with Robert, we explore whether large language models, specifically GPT-3, 3.5, and 4, are good at ...
07.10.2023 Privacy vs Fairness in Computer Vision with Alice Xiang - #637 Today we’re joined by Alice Xiang, Lead Research Scientist at Sony AI, and Global Head of AI Ethics at Sony Group Corporation. In our conversation with Alice, we discuss the ongoing debate between privacy and fairness in computer vision, diving ...
07.03.2023 Unifying Vision and Language Models with Mohit Bansal - #636 Today we're joined by Mohit Bansal, Parker Professor, and Director of the MURGe-Lab at UNC, Chapel Hill. In our conversation with Mohit, we explore the concept of unification in AI models, highlighting the advantages of shared knowledge and efficiency. He ...
06.26.2023 Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635 Today we kick off our coverage of the 2023 CVPR conference joined by Fatih Porikli, a Senior Director of Technology at Qualcomm. In our conversation with Fatih, we covered quite a bit of ground, touching on a total of 12 ...
06.19.2023 Mojo: A Supercharged Python for AI with Chris Lattner - #634 Today we’re joined by Chris Lattner, Co-Founder and CEO of Modular. In our conversation with Chris, we discuss Mojo, a new programming language for AI developers. Mojo is unique in this space and simplifies things by making the entire stack ...
06.12.2023 Stable Diffusion and LLMs at the Edge with Jilei Hou - #633 Today we’re joined by Jilei Hou, a VP of Engineering at Qualcomm Technologies. In our conversation with Jilei, we focus on the emergence of generative AI, and how they've worked towards providing these models for use on edge devices. We ...
06.05.2023 Modeling Human Behavior with Generative Agents with Joon Sung Park - #632 Today we’re joined by Joon Sung Park, a PhD Student at Stanford University. Joon shares his passion for creating AI systems that can solve human problems and his work on the recent paper Generative Agents: Interactive Simulacra of Human Behavior, ...
05.29.2023 Towards Improved Transfer Learning with Hugo Larochelle - #631 Today we’re joined by Hugo Larochelle, a research scientist at Google Deepmind. In our conversation with Hugo, we discuss his work on transfer learning, understanding the capabilities of deep learning models, and creating the Transactions on Machine Learning Research journal. ...
05.22.2023 Language Modeling With State Space Models with Dan Fu - #630 Today we’re joined by Dan Fu, a PhD student at Stanford University. In our conversation with Dan, we discuss the limitations of state space models in language modeling and the search for alternative building blocks that can help increase context ...
05.15.2023 Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - #629 Today we continue our coverage of ICLR 2023 joined by Dhruv Batra, an associate professor at Georgia Tech and research director of the Fundamental AI Research (FAIR) team at META. In our conversation, we discuss Dhruv’s work on the paper ...
05.08.2023 AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - #628 Today we’re joined by Jerry Liu, co-founder and CEO of Llama Index. In our conversation with Jerry, we explore the creation of Llama Index, a centralized interface to connect your external data with the latest large language models. We discuss ...
05.01.2023 Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627 Today we kick off our coverage of the 2023 ICLR conference joined by Christos Louizos, an ML researcher at Qualcomm Technologies. In our conversation with Christos, we explore his paper Hyperparameter Optimization through Neural Network Partitioning and a few of ...
04.24.2023 Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626 Today we’re joined by Marti Hearst, Professor at UC Berkeley. In our conversation with Marti, we explore the intricacies of AI language models and their usefulness in improving efficiency but also their potential for spreading misinformation. Marti expresses skepticism about ...
04.17.2023 Are Large Language Models a Path to AGI? with Ben Goertzel - #625 Today we’re joined by Ben Goertzel, CEO of SingularityNET. In our conversation with Ben, we explore all things AGI, including the potential scenarios that could arise with the advent of AGI and his preference for a decentralized rollout comparable to ...
04.11.2023 Open Source Generative AI at Hugging Face with Jeff Boudier - #624 Today we’re joined by Jeff Boudier, head of product at Hugging Face
04.03.2023 Generative AI at the Edge with Vinesh Sukumar - #623 Today we’re joined by Vinesh Sukumar, a senior director and head of AI/ML product management at Qualcomm Technologies. In our conversation with Vinesh, we explore how mobile and automotive devices have different requirements for AI models and how their AI ...
03.27.2023 Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622 Today we’re joined by Anastasis Germanidis, Co-Founder and CTO of RunwayML. Amongst all the product and model releases over the past few months, Runway threw its hat into the ring with Gen-1, a model that can take still images or ...
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 ...

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