We are pleased to announce the Machine Learning for Science (ML4SCI) Hackathon Competition that will take place virtually from October 26-30, 2020. The competition is sponsored by the University of Alabama Cyber Initiative and the Brown Data Science Initiative and is open to anyone interested. The hackathon will focus on applying machine learning techniques to scientific challenges, including those from the fields of physics, astronomy, planetary science and geoscience.

The agenda for the hackathon can be found here: https://indico.cern.ch/event/966872/

Anyone interested in learning more about machine learning techniques and trying their hand at the competition is welcome. The kickoff Zoom meeting is on Monday, 26 October at 4 PM US Central Time (5PM EDT). There will also be an introductory machine learning lecture by Prof. Harrison Prosper (FSU) on Tuesday, 27 October at 1:30 PM Central.

Interested participants can register via Slack at https://bit.ly/3noij1V.

There are six main challenges:

• Higgs Boson Challenge (Classification, General)

• Particle Images Challenge (Classification, Computer Vision)

• Strong Lensing Challenge (Anomaly Detection)

• NMR Spin Challenge (Multi-Target Regression)

• Cosmic Rays in Planetary Science Images (Image Segmentation)

• Google Earth Engine Challenge (Anomaly Detection)

Please find more details and example Jupyter notebooks inside each challenge folder.

Solutions are due on Friday, Oct 30 at 7pm EDT/6pm Central time. Winners will receive certificates and prizes. For any questions about the ML4SCI Hackathon please contact Prof. Sergei Gleyzer [email protected]