Machine Learning as a tool for positive impact : case studies from climate change
Thursday, December 10, 2020
15:00 UTC
Dr Alexandra (Sasha) Luccioni
University of Montreal and Mila (Quebec Institute for Learning Algorithms)
Recording
Open recording
Hosted by Sheffield ML70 minutes
Abstract
Climate change is one of our generation's greatest challenges, with increasingly severe consequences on global ecosystems and populations. Machine Learning has the potential to address many important challenges in climate change, from both mitigation (reducing its extent) and adaptation (preparing for unavoidable consequences) aspects. To present the extent of these opportunities, I will describe some of the projects that I am involved in, spanning from generative model to computer vision and natural language processing. There are many opportunities for fundamental innovation in this field, advancing the state-of-the-art in Machine Learning while ensuring that this fundamental progress translates into positive real-world impact.
Topics
Related Job Opportunities
JobJobJob
PhD Studentship: Mitochondrial Metabolism and Novel Therapeutic Strategies for Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) (Fixed Term)
Supervisors: Professor Andrew Murray, Department of Physiology, Development and Neuroscience, University of Cambridge Dr Ross Lindsay, Novo Nordisk Funding: Fully funded PhD studentship (Home/UK…
Posted Aug 10, 2026
Postdoctoral Scientist - Sarvestani Lab
The Sarvestani Lab at Cornell University is recruiting a postdoctoral scientist in systems neuroscience to study how visual and motor systems across the brain and body support perception and…
Posted Aug 12, 2026
Ithaca, New York, United States
ARISE2 Postdoctoral Fellowship - 2026 Call for Applications
EMBL's ARISE2 programme offers more than 20 fully funded, three-year postdoctoral fellowships for scientists developing research-infrastructure technologies across the life sciences, including…
Posted Aug 12, 2026
Multiple EMBL sites in Europe