Скачать или смотреть AI/ML Seminar Series talk - 5/14/25

Dr. Ryan Felton hosts Dr. Daniel Angerhausen from ETH Zurich, to discuss their various AI/ML research projects and the techniques employed.

Title:
How Machine Learning helps in the search for life in space

Abstract:
In my talk I'll be sharing insights from my journey in applying AI to space exploration. In this presentation, I'll cover:
-My experiences with NASA's Frontier Development Lab and key lessons learned in AI-space collaborations.
-How we're using deep learning to improve exoplanet detection [Classification]
-Our work on biosignature analysis for the LIFE (Large Interferometer For Exoplanets) mission, including advanced spectral retrieval techniques. [Simulation based inference, dimensionality reduction, generative models]
-A SETI/Technosignature project using unsupervised machine learning to detect features on the Moon's surface. [anomaly detection]
I'll emphasize the importance of collaboration between domain experts and AI specialists, and discuss challenges we've overcome in applying ML to space science.

Bio: Dr. Daniel Angerhausen is an Astrophysicist and Astrobiologist at the Institute for Particle Physics and Astrophysics (IPA) at the Physics Department of ETH Zurich, where he leads the Project Office for the LIFE (Large Interferometer for Exoplanets) space mission. The former NASA and Center for Space and Habitability fellow is also founder and director of the Science and Tech Communication non-profit 'Explainables'. On his search for planets around other stars Daniel already flew six missions on the NASA airborne telescope SOFIA. Daniel served at the SETI institute as mentor and science committee member of NASA Frontier Development Lab, an Artificial Intelligence/Machine Learning incubator tackling challenges in various fields of space sciences in collaboration with industry stakeholders such as Google Cloud, Nvidia or IBM. He plays Sepaktakraw, an artistic footvolleyball game and competed several times at World Championships in South East Asia.