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AI & Aliens: New Eyes on Ancient Questions // Richard Cloete // #288

Feb 4, 2025
Richard Cloete, a computer scientist at Harvard and founder of SEAQR Robotics, joins the discussion on the cutting-edge intersection of AI with UAP tracking. He shares insights from the Galileo Project, detailing the advanced sensor setups and challenges in training AI for sky surveillance. The conversation also highlights Aerosynth, a tool for simulating aerial objects to enhance detection, and Seeker Robotics' innovations in ocean exploration. Cloete emphasizes the importance of AI in classifying interstellar objects and advancing our understanding of both space and oceanic mysteries.
47:58

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The Galileo Project is leveraging AI-driven sensor systems to accurately detect and monitor unidentified aerial phenomena, emphasizing the need for unbiased data collection.
  • Seeker Robotics aims to apply similar AI techniques for ocean exploration, utilizing unmanned vehicles to gather environmental data and support marine research.

Deep dives

The Galileo Project and UAP Detection

The Galileo Project focuses on monitoring the electromagnetic spectrum to detect unidentified aerial phenomena (UAP). It employs a suite of sensors, including infrared and all-sky visible cameras, along with acoustic sensors to gather data on unusual objects in the sky. The primary goal is to collect evidence without preconceived notions, allowing the data to speak for itself rather than relying on potentially biased human interpretation. One innovative aspect of the project is the development of a simulated dataset, known as Aerosynth, which utilizes 3D modeling to generate images of various aerial objects under different conditions for training AI detection models.

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