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Green AI (Green AI) [nicht eingeordnet]- Dozent/in
- Eva Dorschky, M. Sc.
- Angaben
- Seminar
2 SWS, benoteter Schein, ECTS-Studium, ECTS-Credits: 2,5, Sprache Englisch
Zeit und Ort: n.V.
- Inhalt
- Can we use AI to combat global climate change? How can advances in machine learning and data science help to monitor climate crises and to conserve nature? What is the role of AI in reducing greenhouse gas emissions in the manufacturing industries, transportation infrastructure, agriculture, and power sector? In this seminar, we will develop and discuss future perspectives of AI for sustainability.
However, current advances in machine learning, particularly deep learning, have led to an exponential increase in computational cost and thus significant carbon emissions. In this seminar, we will learn about important aspects of improving the sustainability of machine learning algorithms.
- Empfohlene Literatur
- Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., ... & Nerini, F. F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 1-10.
Schwartz, R., Dodge, J., Smith, N. A., & Etzioni, O. (2020). Green ai. Communications of the ACM, 63(12), 54-63.
- ECTS-Informationen:
- Credits: 2,5
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 20, Maximale Teilnehmerzahl: 20
- Institution: Lehrstuhl für Maschinelles Lernen und Datenanalytik
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