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.

4.7

311 ratings

Download our free app to listen on your phone

LAST EPISODE

Learning to Ponder: Memory ...

10.18.2021

Today we’re joined by Andrea Banino, a research scientist at DeepMind. In our conversation with Andrea, we explore his interest in artificial general intelligence by way of episodic memory, the relationship between memory and intelligence, the challenges of applying memory ...

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

10.18.2021 Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528 Today we’re joined by Andrea Banino, a research scientist at DeepMind. In our conversation with Andrea, we explore his interest in artificial general intelligence by way of episodic memory, the relationship between memory and intelligence, the challenges of applying memory ...
10.14.2021 Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527 Take our survey at twimlai.com/survey21! Today we’re joined by Tim Rocktäschel, a research scientist at Facebook AI Research and an associate professor at University College London (UCL). Tim’s work focuses on training RL agents in simulated environments, with the goal ...
10.11.2021 Building Technical Communities at Stack Overflow with Prashanth Chandrasekar - #526 In this special episode of the show, we’re excited to bring you our conversation with Prashanth Chandrasekar, CEO of Stack Overflow. This interview was recorded as a part of the annual Prosus AI Marketplace event. In our discussion with Prashanth, ...
10.07.2021 Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525 Today we’re joined by Joseph Soriaga, a senior director of technology at Qualcomm. In our conversation with Joseph, we focus on a pair of papers that he and his team will be presenting at Globecom later this year. The first, ...
10.04.2021 Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524 Today we’re joined by Kanaka Rajan, an assistant professor at the Icahn School of Medicine at Mt Sinai. Kanaka, who is a recent recipient of the NSF Career Award, bridges the gap between the worlds of biology and artificial intelligence ...
09.30.2021 Do You Dare Run Your ML Experiments in Production? with Ville Tuulos - #523 Today we’re joined by a friend of the show and return guest Ville Tuulos, CEO and co-founder of Outerbounds. In our previous conversations with Ville, we explored his experience building and deploying the open-source framework, Metaflow, while working at Netflix. ...
09.27.2021 Delivering Neural Speech Services at Scale with Li Jiang - #522 Today we’re joined by Li Jiang, a distinguished engineer at Microsoft working on Azure Speech. In our conversation with Li, we discuss his journey across 27 years at Microsoft, where he’s worked on, among other things, audio and speech recognition ...
09.23.2021 AI’s Legal and Ethical Implications with Sandra Wachter - #521 Today we’re joined by Sandra Wacther, an associate professor and senior research fellow at the University of Oxford. Sandra’s work lies at the intersection of law and AI, focused on what she likes to call “algorithmic accountability”. In our conversation, ...
09.20.2021 Compositional ML and the Future of Software Development with Dillon Erb - #520 Today we’re joined by Dillon Erb, CEO of Paperspace. If you’re not familiar with Dillon, he joined us about a year ago to discuss Machine Learning as a Software Engineering Discipline; we strongly encourage you to check out that interview ...
09.16.2021 Generating SQL Database Queries from Natural Language with Yanshuai Cao - #519 Today we’re joined by Yanshuai Cao, a senior research team lead at Borealis AI. In our conversation with Yanshuai, we explore his work on Turing, their natural language to SQL engine that allows users to get insights from relational databases ...
09.13.2021 Social Commonsense Reasoning with Yejin Choi - #518 Today we’re joined by Yejin Choi, a professor at the University of Washington. We had the pleasure of catching up with Yejin after her keynote interview at the recent Stanford HAI “Foundational Models” workshop. In our conversation, we explore her ...
09.09.2021 Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517 Today we’re joined by Konrad Tollmar, research director at Electronic Arts and an associate professor at KTH. In our conversation, we explore his role as the lead of EA’s applied research team SEED and the ways that they’re applying ML/AI ...
09.06.2021 Exploring AI 2041 with Kai-Fu Lee - #516 Today we’re joined by Kai-Fu Lee, chairman and CEO of Sinovation Ventures and author of AI 2041: Ten Visions for Our Future. In AI 2041, Kai-Fu and co-author Chen Qiufan tell the story of how AI could shape our future ...
09.02.2021 Advancing Robotic Brains and Bodies with Daniela Rus - #515 Today we’re joined by Daniela Rus, director of CSAIL & Deputy Dean of Research at MIT. In our conversation with Daniela, we explore the history of CSAIL, her role as director of one of the most prestigious computer science labs ...
08.30.2021 Neural Synthesis of Binaural Speech From Mono Audio with Alexander Richard - #514 Today we’re joined by Alexander Richard, a research scientist at Facebook Reality Labs, and recipient of the ICLR Best Paper Award for his paper “Neural Synthesis of Binaural Speech From Mono Audio.” We begin our conversation with a look into ...
08.26.2021 Using Brain Imaging to Improve Neural Networks with Alona Fyshe - #513 Today we’re joined by Alona Fyshe, an assistant professor at the University of Alberta. We caught up with Alona on the heels of an interesting panel discussion that she participated in, centered around improving AI systems using research about brain ...
08.23.2021 Adaptivity in Machine Learning with Samory Kpotufe - #512 Today we’re joined by Samory Kpotufe, an associate professor at Columbia University and program chair of the 2021 Conference on Learning Theory (COLT). In our conversation with Samory, we explore his research at the intersection of machine learning, statistics, and ...
08.19.2021 A Social Scientist’s Perspective on AI with Eric Rice - #511 Today we’re joined by Eric Rice, associate professor at USC, and the co-director of the USC Center for Artificial Intelligence in Society. Eric is a sociologist by trade, and in our conversation, we explore how he has made extensive inroads ...
08.16.2021 Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato - #510 Today we’re joined by José Miguel Hernández-Lobato, a university lecturer in machine learning at the University of Cambridge. In our conversation with Miguel, we explore his work at the intersection of Bayesian learning and deep learning. We discuss how he’s ...
08.12.2021 Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509 Today we’re joined by return guest Greg Brockman, co-founder and CTO of OpenAI. We had the pleasure of reconnecting with Greg on the heels of the announcement of Codex, OpenAI’s most recent release. Codex is a direct descendant of GPT-3 ...
08.09.2021 Spatiotemporal Data Analysis with Rose Yu - #508 Today we’re joined by Rose Yu, an assistant professor at the Jacobs School of Engineering at UC San Diego. Rose’s research focuses on advancing machine learning algorithms and methods for analyzing large-scale time-series and spatial-temporal data, then applying those developments ...
08.05.2021 Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507 Today we’re joined by Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. Most folks know Bryan as one of the founders/creators of cuDNN, the accelerated library for deep neural networks. In our conversation, we explore his interest ...
08.02.2021 Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506 Today we close out our 2021 ICML series joined by Lina Montoya, a postdoctoral researcher at UNC Chapel Hill. In our conversation with Lina, who was an invited speaker at the Neglected Assumptions in Causal Inference Workshop, we explored her ...
07.29.2021 Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505 Today we continue our ICML series joined by Gustavo Malkomes, a research engineer at Intel via their recent acquisition of SigOpt. In our conversation with Gustavo, we explore his paper Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective ...
07.26.2021 Fairness and Robustness in Federated Learning with Virginia Smith -#504 Today we kick off our ICML coverage joined by Virginia Smith, an assistant professor in the Machine Learning Department at Carnegie Mellon University. In our conversation with Virginia, we explore her work on cross-device federated learning applications, including where the ...
07.22.2021 Scaling AI at H&M Group with Errol Koolmeister - #503 Today we’re joined by Errol Koolmeister, the head of AI foundation at H&M Group. In our conversation with Errol, we explore H&M’s AI journey, including its wide adoption across the company in 2016, and the various use cases in which ...
07.19.2021 Evolving AI Systems Gracefully with Stefano Soatto - #502 Today we’re joined by Stefano Soatto, VP of AI applications science at AWS and a professor of computer science at UCLA. Our conversation with Stefano centers on recent research of his called Graceful AI, which focuses on how to make ...
07.15.2021 ML Innovation in Healthcare with Suchi Saria - #501 Today we’re joined by Suchi Saria, the founder and CEO of Bayesian Health, the John C. Malone associate professor of computer science, statistics, and health policy, and the director of the machine learning and healthcare lab at Johns Hopkins University. ...
07.12.2021 Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500 Today we’re joined by a friend of the show Jeff Gehlhaar, VP of technology and the head of AI software platforms at Qualcomm. In our conversation with Jeff, we cover a ton of ground, starting with a bit of exploration ...
07.08.2021 The Future of Human-Machine Interaction with Dan Bohus and Siddhartha Sen - #499 Today we continue our AI in Innovation series joined by Dan Bohus, senior principal researcher at Microsoft Research, and Siddhartha Sen, a principal researcher at Microsoft Research. In this conversation, we use a pair of research projects, Maia Chess and ...
07.05.2021 Vector Quantization for NN Compression with Julieta Martinez - #498 Today we’re joined by Julieta Martinez, a senior research scientist at recently announced startup Waabi. Julieta was a keynote speaker at the recent LatinX in AI workshop at CVPR, and our conversation focuses on her talk “What do Large-Scale Visual ...
07.01.2021 Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497 Today we continue our CVPR 2021 coverage joined by Claire Monteleoni, an associate professor at the University of Colorado Boulder. We cover quite a bit of ground in our conversation with Claire, including her journey down the path from environmental ...
06.28.2021 Skip-Convolutions for Efficient Video Processing with Amir Habibian - #496 Today we kick off our CVPR coverage joined by Amir Habibian, a senior staff engineer manager at Qualcomm Technologies. In our conversation with Amir, whose research primarily focuses on video perception, we discuss a few papers they presented at the ...
06.24.2021 Advancing NLP with Project Debater w/ Noam Slonim - #495 Today we’re joined by Noam Slonim, the principal investigator of Project Debater at IBM Research. In our conversation with Noam, we explore the history of Project Debater, the first AI system that can “debate” humans on complex topics. We also ...
06.21.2021 Bringing AI Up to Speed with Autonomous Racing w/ Madhur Behl - #494 Today we’re joined by Madhur Behl, an Assistant Professor in the department of computer science at the University of Virginia. In our conversation with Madhur, we explore the super interesting work he’s doing at the intersection of autonomous driving, ML/AI, ...
06.17.2021 AI and Society: Past, Present and Future with Eric Horvitz - #493 Today we continue our AI Innovation series joined by Microsoft’s Chief Scientific Officer, Eric Horvitz. In our conversation with Eric, we explore his tenure as AAAI president and his focus on the future of AI and its ethical implications, the ...
06.14.2021 Agile Applied AI Research with Parvez Ahammad - #492 Today we’re joined by Parvez Ahammad, head of data science applied research at LinkedIn. In our conversation, Parvez shares his interesting take on organizing principles for his organization, starting with how data science teams are broadly organized at LinkedIn. We ...
06.10.2021 Haptic Intelligence with Katherine J. Kuchenbecker - #491 Today we’re joined Katherine J. Kuchenbecker, director at the Max Planck Institute for Intelligent Systems and of the haptic intelligence department. In our conversation, we explore Katherine’s research interests, which lie at the intersection of haptics (physical interaction with the ...
06.07.2021 Data Science on AWS with Chris Fregly and Antje Barth - #490 Today we continue our coverage of the AWS ML Summit joined by Chris Fregly, a principal developer advocate at AWS, and Antje Barth, a senior developer advocate at AWS. In our conversation with Chris and Antje, we explore their roles ...
06.03.2021 Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489 Today we’re joined by Ziad Asghar, vice president of product management for snapdragon technologies & roadmap at Qualcomm Technologies. We begin our conversation with Ziad exploring the symbiosis between 5G and AI and what is enabling developers to take full ...
05.31.2021 Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488 Today we’re joined by Nir Bar-Lev, co-founder and CEO of ClearML. In our conversation with Nir, we explore how his view of the wide vs deep machine learning platforms paradox has changed and evolved over time, how companies should think ...
05.27.2021 Applied AI Research at AWS with Alex Smola - #487 Today we’re joined by Alex Smola, Vice President and Distinguished Scientist at AWS AI. We had the pleasure to catch up with Alex prior to the upcoming AWS Machine Learning Summit, and we covered a TON of ground in the ...
05.24.2021 Causal Models in Practice at Lyft with Sean Taylor - #486 Today we’re joined by Sean Taylor, Staff Data Scientist at Lyft Rideshare Labs. We cover a lot of ground with Sean, starting with his recent decision to step away from his previous role as the lab director to take a ...
05.20.2021 Using AI to Map the Human Immune System w/ Jabran Zahid - #485 Today we’re joined by Jabran Zahid, a Senior Researcher at Microsoft Research. In our conversation with Jabran, we explore their recent endeavor into the complete mapping of which T-cells bind to which antigens through the Antigen Map Project. We discuss ...
05.17.2021 Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484 Today we conclude our 2021 ICLR coverage joined by Konstantin Rusch, a PhD Student at ETH Zurich. In our conversation with Konstantin, we explore his recent papers, titled coRNN and uniCORNN respectively, which focus on a novel architecture of recurrent ...
05.13.2021 What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483 Today we continue our ICLR ‘21 series joined by Allyson Ettinger, an Assistant Professor at the University of Chicago. One of our favorite recurring conversations on the podcast is the two-way street that lies between machine learning and neuroscience, which ...
05.10.2021 Probabilistic Numeric CNNs with Roberto Bondesan - #482 Today we kick off our ICLR 2021 coverage joined by Roberto Bondesan, an AI Researcher at Qualcomm. In our conversation with Roberto, we explore his paper Probabilistic Numeric Convolutional Neural Networks, which represents features as Gaussian processes, providing a probabilistic ...
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 ...

Older episodes