EAGE 2022 - Hackathon on Explainable AI
06 June, 2022
A team of KAUST students (Abdullah Alali, Miguel Angel Corrales Guerrero, Randy Harsuko, and Danilo Chamorro Riascos) won the first EAGE Hackathon on Explainable AI (XAI) during EAGE 2022 Annual Meeting in Madrid.
Explainable Artificial Intelligence (XAI) was the theme of this year's EAGE Annual Hackathon organized by the EAGE A.I. Committee. Teams explored ways in which scientists/researchers can build more interpretable machine learning tools. The goal is more understandable and trustworthy subsurface prediction.
The winning team published a Github repo with their code here.
Archives List
- November 2022 (1) x
- October 2022 (2) x
- September 2022 (1) x
- August 2022 (3) x
- June 2022 (2) x
- May 2022 (2) x
- April 2022 (2) x
- March 2022 (1) x
- January 2022 (1) x
- November 2021 (2) x
- October 2021 (1) x
- September 2021 (2) x
- June 2021 (1) x
- December 2020 (1) x
- September 2020 (1) x
- March 2020 (1) x
- January 2020 (2) x
- November 2019 (2) x
- October 2019 (3) x
- September 2019 (1) x
- July 2019 (1) x
- June 2019 (1) x
- April 2019 (1) x
- March 2019 (2) x
- January 2019 (1) x
- November 2018 (1) x
- October 2018 (2) x
- July 2018 (1) x
- June 2018 (1) x
- May 2018 (1) x
- April 2018 (2) x
- March 2018 (1) x
- February 2018 (2) x
- December 2017 (3) x
- November 2017 (2) x
- October 2017 (2) x
- September 2017 (2) x
- June 2017 (1) x
- May 2017 (1) x
- February 2017 (2) x
- October 2016 (1) x
- September 2016 (1) x
- May 2016 (1) x
- April 2016 (1) x
- March 2016 (1) x
- February 2016 (1) x
- January 2016 (4) x
- October 2015 (1) x
- June 2015 (3) x
- May 2015 (1) x
- April 2015 (1) x
- March 2015 (2) x
- January 2015 (2) x
- December 2014 (1) x
- November 2014 (1) x
- October 2014 (1) x
- September 2014 (1) x
- April 2014 (1) x
- March 2014 (5) x
- February 2014 (1) x