DIKU Bits: Carbon Footprint of Deep Learning
On 27 September the Machine Learning (ML) section at Department of Computer Science, University of Copenhagen, will give a DIKU Bits lecture.
Raghavendra Selvan, Assistant Professor at the University of Copenhagen's Department of Computer Science in the Machine Learning Section.
Carbon Footprint of Deep Learning
Deep Learning has transformed several application domains with new and exciting possibilities. These advancements have been enabled, and accelerated, by large scale computations on massive data which also translates into increased energy- and carbon costs. In this work, we take a look at the carbon footprint of Deep Learning, present techniques to quantify it and practices that could improve the environmental sustainability of Deep Learning.
Which courses do you teach? Currently, I’m not teaching at any courses, but I have supervised around 20 BSc and MSc projects/theses.
Which technology/research/projects/startup are you excited to see the evolution of? I am excited about the new trends on Resource Efficient Machine Learning, which will also contribute towards environmental sustainability of Deep Learning.