Making AI Possible – Details, episodes & analysis

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Making AI Possible

Caltech CTME

Technology

Education

Business

Frequency: 1 episode/28d. Total Eps: 2

Welcome to the Making AI Possible Podcast—your new monthly deep dive into the latest breakthroughs in artificial intelligence and how they’re shaping the world around us. Produced at Caltech in Pasadena, California, this series features in-depth conversations with the people driving AI innovation forward. This podcast series features the latest AI advancements with some of the brightest minds in the field, such as groundbreaking research from AI industry leaders, labs here on campus, and the Jet Propulsion Laboratory (JPL), which Caltech manages for NASA. Discover how cutting-edge research is being applied to transform and streamline healthcare, energy, manufacturing, and finance. Each episode explores the "how" behind AI breakthroughs and the "why" that drives innovation—from lab to enterprise. Whether you're a technologist, strategist, or decision-maker, Making AI Possible offers rare insight into how advanced AI systems are built, governed, and applied in the real world. Tune in to discover how the latest research becomes transformative technology.

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Score global : 79%

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Making AI Possible:Taking ML from Space to Industry-June 2025

Season 1 · Episode 2

Tuesday, June 3, 2025 • Duration 55:31

This podcast series features the latest AI advancements with some of the brightest minds in the field, such as groundbreaking research from AI industry leaders, labs here on campus, and the Jet Propulsion Laboratory (JPL), which Caltech manages for NASA. Discover how cutting-edge research is being applied to transform and streamline healthcare, energy, manufacturing, and finance. Tune in to discover how the latest research becomes transformative technology.

Dr. Matthew Graham, Research Professor of Astronomy at the California Institute of Technology received his MA in Physics from the University of Oxford and his PhD in Astronomy from the University of Central Lancashire in the UK. After a postdoc at Imperial College London, he came to Caltech in 2003, initially as a Senior Postdoctoral Scholar and then transitioning to a Computational Scientist within the Center for Advanced Computing Research. He has been a Member of the Professional Staff at Caltech and in 2017, he became research faculty in astronomy. Matthew has extensive experience in large sky surveys and their computational challenges, particularly the application of machine learning and advanced statistical methodologies to astrophysical problems. Matthew is currently the co-PI and Project Scientist for the Zwicky Transient Facility (ZTF), the first of a next generation of time-domain sky surveys producing hundreds of thousands of public transient alerts per night. He also has ongoing research projects on real-time low latency inferencing— real-time AI at scale —the application of reinforcement learning to optimize follow-up observations of short lived phenomena, the development of neural differential models for modeling black holes, and the functional analysis modeling of multivariate time series. ♦

As Caltech CTME's Affiliate Director of AI Programs, Nicholas Beaudoin intersects strategic program development with hands-on curriculum design, positioning AI/ML education programs at the forefront of technological transformation. Leading the AI programs at Caltech's Center for Technology & Management Education, Nicholas' focus is on delivering impactful learning experiences tailored to a diverse clientele, including private and public sectors, as well as government and non-profit organizations

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Making AI Possible: From Research to Application -May 2025

Season 1 · Episode 1

Tuesday, May 6, 2025 • Duration 50:21

Caltech Affiliate Director of AI Programs Nicholas Beaudoin, talks with special guest Dr. Georgia Gkioxari on the subject, From Research to Application, where they discuss how research applies to industry use cases and their direct applications.

Dr. Georgia Gkioxari, PhD
Assistant Professor at the Computing + Mathematical Sciences at Caltech

Dr. Gkioxari obtained her PhD in Electrical Engineering and Computer Science from UC Berkeley, where she was advised by Jitendra Malik. Prior to Berkeley, she earned her diploma from the National Technical University of Athens in Greece. After earning her PhD, she was a research scientist at Meta's FAIR team. In 2021, she received the PAMI Young Researcher Award, which recognizes a young researcher for their distinguished research contribution to computer vision. Dr. Gkioxari the recipient of the PAMI Mark Everingham Award for the open-source software suite Detectron (2021), the Google Faculty Award (2024) and the Okawa Research Award (2024). In 2017, Dr. Gkioxari and her co-authors received the Marr Prize for “Mask R-CNN” published and presented at ICCV. She was named one of 30 influential women advancing AI in 2019 by ReWork and was nominated for the Women in AI Awards in 2020 by VentureBeat. ♦

Making AI Possible – Details, episodes & analysis

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Making AI Possible – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

RSS feed quality and score

Publication history

Latest published episodes

Similar podcasts and content

Related Shows Based on Content Similarities

Related Shows Based on Content Similarities

Apple Podcasts

Spotify