show episodes
 
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, de ...
 
MLOps Live is a biweekly Q&A show where practitioners doing ML at a reasonable scale answer questions from other ML practitioners. Every episode focused on one specific subject related to MLOps. Only the juicy bits, the things you won’t find in a company blog post.
 
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show series
 
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 video and transform them into completely stylized videos. They followed that up just a few weeks later with the release …
 
Subscribe to our YouTube channel to watch this episode! Learn more about Andreas and Ivan: Andreas’ LinkedIn Ivan’s LinkedIn Episode Resources: Continuum Industries Hyp-ED Study of physical properties and microstructure of aerogel-cement mortars for improving the fire safety of high-performance concrete linings in tunnels Using COMSOL® for the Deve…
 
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 that can evade object detection. In our conversation, we focus on his more recent research on water…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Silas and Abhijit: Silas’ LinkedIn Abhijit’s LinkedIn Episode Resources: freeCodeCamp Innovate Ghana Theta Tech AI Stanbic Bank Ghana Afribbean Tech Collective If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS F…
 
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 the capabilities of LLMs by considering their performance on two different aspects of …
 
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 landscape, getting Monroe’s thoughts on the current challenges in the field, as well as his op…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Jason Flaks: Jason's LinkedIn Episode Resources: neptune.ai Website Xembly Website Amazon AWS spaCy chat GPT Label Studio Kubernetes If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new li…
 
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 community. In our conversation, we discuss the current state of adversarial machine learning re…
 
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 disparities are captured and propagated within machine learning tools. We explore a few sp…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Kacper Lukawski: Kacper’s LinkedIn Kacper’s Twitter Episode Resources: Vector library vs vector database Reducing memory usage for vector search https://qdrant.tech/articles/memory-consumption/ Visual search with vector embeddings Qdrant Codete GmbH Bye-bye, Miss AI AI Embassy…
 
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 learning, and causal judgements. We also discuss the impact causality could have on large la…
 
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 analyzing the vast amount of data they acquire. We explore some specific use cas…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Aurimas Griciūnas and Piotr Niedzwiedz: Aurimas's LinkedIn Piotr's LinkedIn Episode Resources: neptune.ai Website SwirlAI Website Qflow Kafka Cassandra Airflow Kubernetes Swirl AI newsletter neptune.ai blog Designing Machine Learning Systems by Chip Huyen Fundamentals of Data …
 
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 on both practical applications and longer-term research areas. We discuss the latest developments in the area o…
 
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 focus on the latest and greatest advancements and developments in the field of NLP, starting out with o…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Itay Ben Haim: Itay's LinkedIn Episode Resources: Superwise Website Google vertex Github BentoML Azure ML Kubeflow's compiler Amazon SageManager If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register fo…
 
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 field including the release of ChatGPT and the onset of RLHF. We also explore more broadly the in…
 
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 into her talk from the ML in the Physical Sciences workshop, Supporting Food Security in Afric…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Vishnu Rachakonda: Vishnu's LinkedIn Episode Resources: Vishnu's Publication firsthand's Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune…
 
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 in responsible AI and ML governance and his role at Amazon. We then discuss the announcement …
 
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 has evolved over the last few years, and the business value of machine learning, specifically recommendations, hold at…
 
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 as humans. One of the concerns most frequently voiced, whether sincerely or cloaked in jest, is how ChatGPT or s…
 
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 Platform. In our conversation, we explore Kumar’s role as the GM for a diverse array of SageMaker services, wha…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Shirsha Ray Chaudhuri: Shirsha's LinkedIn Episode Resources: Shirsha's Publication TR Labs' Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Nept…
 
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 with creating reusable libraries, components, and workflows to make ML usable broadly across the company, as well …
 
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 solve, before turning our focus to Johann’s paper Weakly supervised causal representation learning, …
 
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 by storm with the release of its stable diffusion model just a few months ago. In our conversation with Emad, w…
 
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 technical challenges and open questions in the field. We also explore the role of supervise…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Laszlo Sragner: Laszlo's LinkedIn Laszlo's Twitter Episode Resources: Laszlo’s Newsletter Hypergolic's Website Refactoring the Titanic If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new …
 
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 discuss the broad ambitious goal of the AI field, artificial general intellig…
 
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, including autonomy. Cedric’s work on Project Vahana, Acubed’s foray into air taxis, attemp…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Simon Stiebellehner: Simon’s LinkedIn Piotr's LinkedIn Episode Resources: TMNL's Website neptune.ai's Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more …
 
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 first real-time deep learning model into production. We discuss the use case, which aim…
 
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 the progress that has been made in robotics in the time that has passed. We discuss Ken’s recent work, including the paper Auto…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Phil Basford: Phil’s LinkedIn Phil’s Twitter Episode Resources : Inawisdom's Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune.ai Previous…
 
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 conversation with Oren, we discuss his philosophy as a researcher and how that has manifested in his pivot to institution bui…
 
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 development and optimization, to model deployment and monitoring. But how do you get there? Many tools ava…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Chaoyu Yang: Chaoyu’s LinkedIn Chaoyu’s Twitter Episode Resources: BentoML’s Website BentoML’s Github If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Ne…
 
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 if you work at one of the many small, B2B companies that stand to benefit through the use of machine learning? How should you …
 
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 in software development have shaped his view on building platforms and the evolution of the platforms space over …
 
Subscribe to our YouTube channel to watch this episode! Learn more about Duarte Carmo: Duarte’s LinkedIn Duarte’s Twitter Episode Resources: Duarte’s Website Amplemarket Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit…
 
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 begin by exploring Vasi’s role and the various products under the banner of cognitive and …
 
Subscribe to our YouTube channel to watch this episode! Learn more about Amber Roberts: Adam’s LinkedIn Adam’s Twitter Episode Resources: Adam’s Medium Telepath.io Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptu…
 
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, we explore the work being done in four major categories, hardware/compute, data, applied …
 
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 they manifest at Shopify, including on her team, which is responsible for utilizing…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Amber Roberts: Amber’s LinkedIn Amber’s Twitter Episode Resources: Arize’s LinkedIn Arize’s blog If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune…
 
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 other areas like graph CNNs and other traditional graph mining algorithms and applying them to financial ser…
 
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 discuss how Orit found herself exploring problems of swarming behaviors an…
 
Subscribe to our YouTube channel to watch this episode! Learn more about Adam: Adam’s LinkedIn Adam’s Twitter Episode Resources: Origami’s LinkedIn Origami’s Website If you enjoyed this episode then please either: Subscribe, rate, and review on Apple Podcasts Follow on Spotify RSS Feed Register for the new live event To learn more visit Neptune.ai …
 
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