Track / Overview

The space sciences comprise the scientific disciplines related to the exploration and study of space, as well as more Earth-oriented fields such as remote sensing and atmospheric monitoring. Data generated by current and upcoming space missions will allow scientists to probe deeper into the cosmos, as well as gain new insights about our planet and how we shape it.

Artificial intelligence (AI) in the space sciences has been making headlines with increasing frequency, such as earlier this year when convolutional neural networks were used to classify the first image of a black hole. AI is becoming increasingly prevalent in the field of astrophysics in particular, where AI is being used to improve or replace existing algorithms, as well as to make novel new predictions. There are still many open questions, such as how to best employ existing AI techniques, how to quantify the uncertainty of observations and predictions, and—crucially—how to achieve physical insight from data-driven models.

Track / Schedule

Welcome and introduction

Applying AI to Advancing Space

With Marcus Märtens

Geospatial computer vision

With Devis Tuia

Low-shot learning for detection and mapping in Earth observation imagery

With Frank de Morsier

Detecting Convective Clouds in Geostationary Satellite data with Convolutional Neural Networks

With William Clemens


Teaching Machine to analyze cosmological dataset from space

With Shirley Ho

Guidance And Control Networks: from perception to optimal action

With Dario Izzo

Supervised Machine Learning for Exoplanet Atmospheric Retrieval

With Chloe Fischer

AI analyses dark matter maps

With Tomasz Kacprzak

Emulating the energy distribution in the Universe

With Mischa Knabenhans

Data-driven emulation of planetary-scale collisions

With Miles Timpe

Track / Speakers

Miles Timpe

PhD Student, UZH

William Clemens

Machine Learning Scientist, dida

Devis Tuia

Professor, Wageningen University

Shirley Ho

Group Leader & Professor at Flatiron Institute

Mischa Knabenhans

PhD Student, University of Zurich

Marcus Märtens

Internal Research Fellow, European Space Agency

Chloe Fischer

PhD Student, University of Bern

Frank de Morsier

Chief Technology Officer, Picterra

Dario Izzo

European Space Agency

Tomasz Kacprzak

Research Associate, ETH Zurich

Track / Co-organizers

Maria Han Veiga

PhD Candidate, University of Zurich

Miles Timpe

PhD Student, UZH

AMLD EPFL 2020 / Tracks & talks

AI & Climate Change

Lynn Kaack, Nikola Milojevic-Dupont, Nicholas Jones, Felix Creutzig, Buffy Price, Slava Jankin, Olivier Corradi, Liam F. Beiser-McGrath, Marius Zumwald, Eniko Székely, Max Callaghan, Soon Hoe Lim, Mohamed Kafsi, Daniel de Barros Soares, Matthias Meyer, Chris Heinrich, Emmanouil Thrampoulidis, Marta Gonzalez, Kristina Orehounig, David Dao, Bibek Paudel

13:30-17:00 January 2709:00-12:30 January 285ABC

AI & Humanitarian Action

Neil Davison, Max Tegmark, Carmela Troncoso, Alessandro Mantelero, Michela D'Onofrio, Francois Fleuret, Amina Chebira, John C. Havens, Marc Brockschmidt, Helen Toner, Dustin Lewis, Subhashis Banerjee, Rebeca Moreno Jimenez, Netta Goussac, Volkan Cevher, Anika Schumann, Nadia Marsan, Massimo Marelli, Anja Kaspersen

09:00-17:00 January 283A

AI & Cities

Konstantin Klemmer, Shin Koseki, Eun-Kyeong Kim, Nicholas Jones, Kamil Kaczmarek, Kiran Zahra, Roger Fischer, Doori Oh, Ran Goldblatt, Martí Bosch, Roman Prokofyev, Dmitry Kudinov, Camille Lechot, Ellie Cosgrave, Javier Pérez Trufero, Layik Hama, Hoda Allahbakhshi, Marta Gonzalez, Valery Fischer, Emmanouil Tranos, Jens Kandt, Yussuf Said Yussuf, Nyalleng Moorosi, Nick Lucius

09:00-17:00 January 281BC

AMLD / Global partners