About
Recent developments in deep learning have transformed several application domains, including computer vision and natural language processing, with new and exciting possibilities in Artificial Intelligence (AI). These advancements have been enabled, and accelerated, by large scale computations on massive data which also translate into increased energy- and carbon- costs. In this talk, I will present an overview of the factors behind the growing energy consumption and carbon footprint of AI, present techniques to quantify these costs and practices that could improve the environmental sustainability of AI. I will also point out the gaps in regulations and tools needed to assess the sustainability of AI, and suggest some directions to bridge this divide.
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The talk
Credits and licence
- Institution
- CERN
- Speaker
- Raghavendra Selvan
- Year
- 2026
- Language
- English
- Subjects
- Mathematics
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed