Making AI Possible: In Space! - August 2025

episode

Making AI Possible not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

More from Making AI Possible

AI Across the Americas: Where Does the Hemisphere Line up on AI? 54 min · 04 Aug 2026

Building with Agents and Owning the Output: Coding Agents, Product Ownership, and the Modern AI/ML Engineering Workflow 1h 2m · 14 Jun 2026

All episodes from Making AI Possible →

Report any issue

Source

Recorded14 Aug 2025

Publisherfeeds.simplecast.com ↗

Handlerec:14702125

Show notes

Welcome to the Making AI Possible Podcast—your 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.Manuel Gonzalez-Rivero has spent a career exploring remote sensing, machine learning, data science and computer vision on a variety of orbital and terrestrial platforms. An Alum of Carnegie Mellon University, he worked at General Dynamics and Lockheed Martin building real time satellite payloads, teaching and working on remote sensing at ARL-PSU, building global machine learning pipelines at Planet Labs, Orbital Insight, and Maxar Technologies, and Directing AI/ML Execution at the Aerospace Corporation. As director of Data Science and Artificial Intelligence at the Aerospace Corporation, Manuel coordinates with teams to consult a variety of government customers on a wide base of missions related to space. His team has focused on the creation of a development stack that simplifies the complexities of creating, training, and deploying machine learning capabilities that can educate and inform government stakeholders on data that is relevant to their missions in meaningful environments.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.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.