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

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

2025/2/4
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Richard Cloete: 作为伽利略计划的一员,我致力于利用人工智能技术来监测和分析不明空中现象。我们正在构建一套包含多种传感器的系统,旨在尽可能全面地监测电磁频谱,包括红外相机、可见光相机、声学传感器和磁力计等。这个项目的核心目标是收集客观数据,并让数据本身来说话,从而揭示不明空中现象的真相。由于缺乏适用于红外相机拍摄天空的数据集,我面临的挑战是需要构建一个能够有效检测和跟踪空中物体的AI模型。为了解决这个问题,我们开发了一个名为AeroSynth的工具,通过Blender 3D和Python来模拟生成训练数据。我们利用这些数据训练YOLOv8模型,并结合多种跟踪算法,以实现对视频中物体的精确检测和跟踪。通过分析物体的轨迹,我们可以识别出那些不符合已知人造或自然现象的运动模式,从而发现潜在的不明空中现象。虽然我们已经取得了一些进展,但系统尚未完全运行,仍处于调试和优化阶段。我们希望通过不断改进算法和扩大数据收集范围,最终实现对不明空中现象的有效监测和识别。

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Dr. Richard Cloete, a computer scientist at Harvard University and CEO of Seeker Robotics, discusses his AI-driven work in tracking Unidentified Aerial Phenomena (UAPs) through the Galileo Project. He details the challenges of training AI in this niche field, the creation of AeroSynth (a synthetic data tool), and the importance of data-driven analysis in UAP research. The discussion also touches upon the ethical considerations and public perception of UAP research.
  • Utilizes AI to analyze data from a sensor suite monitoring the electromagnetic spectrum for UAP detection.
  • Developed AeroSynth, a synthetic data tool to address the lack of real-world UAP datasets.
  • Employs YOLOv8 and other machine learning models for object detection and tracking.
  • Maintains secrecy around sensor locations to prevent tampering and maintain data integrity.
  • Focuses on a scientific approach, prioritizing data collection and analysis over speculation.

Shownotes Transcript

Richard Cloete) is a computer scientist and a Laukien-Oumuamua Postdoctoral Research Fellow at the Center for Astrophysics, Harvard University. He is a member of the Galileo Project working under the supervision of Professor Avi, having recently held a postdoctoral position at the University of Cambridge, UK.

AI & Aliens: New Eyes on Ancient Questions // MLOps Podcast #288 with Richard Cloete, Laukien-Oumuamua Postdoctoral Research Fellow at Harvard University.

// Abstract Demetrios speaks with Dr. Richard Cloete, a Harvard computer scientist and founder of SEAQR Robotics, about his AI-driven work in tracking Unidentified Aerial Phenomena (UAPs) through the Galileo Project. Dr. Cloete explains their advanced sensor setup and the challenges of training AI in this niche field, leading to the creation of AeroSynth, a synthetic data tool.

He also discusses his collaboration with the Minor Planet Center on using AI to classify interstellar objects and upcoming telescope data. Additionally, he introduces Seeker Robotics, applying similar AI techniques to oceanic research with unmanned vehicles for marine monitoring. The conversation explores AI’s role in advancing our understanding of space and the ocean.

// Bio Richard is a computer scientist and Laukien-Oumuamua Postdoctoral Research Fellow at the Center for Astrophysics, Harvard University. As a member of the Galileo Project under Professor Avi Loeb's supervision, he develops AI models for detecting and tracking aerial objects, specializing in Unidentified Anomalous Phenomena (UAP).

Beyond UAP research, he collaborates with astronomers at the Minor Planet Center to create AI models for identifying potential interstellar objects using the upcoming Vera C. Rubin Observatory.

Richard is also the CEO and co-founder of SEAQR Robotics, a startup developing advanced unmanned surface vehicles to accelerate the discovery of novel life and phenomena in Earth's oceans and atmosphere.

Before joining Harvard, he completed a postdoctoral fellowship at the University of Cambridge, UK, where his research explored the intersection of emerging technologies and law.Grew up in Cape Town, South Africa, where I used to build Tesla Coils, plasma globes, radio stethoscopes, microwave guns, AM radios, and bombs...

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// Related Links Website: www.seaqr.net https://itc.cfa.harvard.edu/people/richard-cloete

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Richard on LinkedIn: https://www.linkedin.com/in/richard-cloete/