July 19, 2023, 11:49 p.m. | Allen Institute for AI

Allen Institute for AI www.youtube.com

Abstract: Machine learning (ML) can be a useful tool in helping society reduce greenhouse gas emissions and adapt to a changing climate. In this talk, we will explore opportunities and challenges in ML for climate action, from optimizing electrical grids to monitoring crop yield, with an emphasis on how to incorporate domain-specific knowledge into machine learning algorithms. We will also consider ways that ML is used in ways that contribute to climate change, and how to better align the use …

abstract challenges climate climate action emissions explore greenhouse knowledge machine machine learning monitoring reduce society talk tool

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Reporting & Data Analytics Lead (Sizewell C)

@ EDF | London, GB

Data Analyst

@ Notable | San Mateo, CA