Tackling climate change with machine learning: An opportunity for application-driven innovation - Dr. David Rolnick, McGill University - SEAS

Machine learning is increasingly being called upon to help address climate change, from processing satellite imagery to modeling Earth systems. Such settings represent an important frontier for machine learning innovation, where traditional paradigms of large, general-purpose datasets and models often fall short.   Details and Register