In our August 5 webcast/podcast, host and Caltech Affiliate Director of AI Programs Nicholas Beaudoin talks with special guest Manuel Gonzalez-Rivero, Director of Data Science and Artificial Intelligence at the Aerospace Corporation. Together they will explore how to make AI possible—in space, covering these topics: 1. The challenges/costs/hardships unique to the space environment that make AI difficult, and how it measures the best of our energies and skills. 2. How we move from research to production in the space context to accept and meet these challenges. 3. Key technologies to embrace as quickly as possible (because the pace of progress is breathtaking) We'll be drawing from John F. Kennedy's famous September, 1962 speech on the space race challenges that still ring true today in the context of AI and space. We'll cover the robust pace of scientific advancement, the high cost and hardships—and the robust rewards.
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.