The NETL Science-based Artificial Intelligence and Machine Learning Institute (SAMI) recently ramped up efforts to connect artificial intelligence and machine learning (AI/ML) researchers working on clean energy technologies by hosting a Jan. 19 Ai4AE Day Workshop and expanding the reach of its biweekly Artificial Intelligence for Applied Energy (Ai4AE) digital communication.
“The goal of this inaugural Ai4AE Day Workshop was to catalyze connections and socialize AI/ML research within NETL for the Department of Energy (DOE) Office of Fossil Energy and Carbon Management (FECM),” said Kelly Rose, SAMI technical director. “Feedback from our participants and stakeholders indicate that this first event was a resounding success and helped build awareness of crosscutting efforts and promote knowledge sharing across the community.”
After opening remarks by Rose, NETL Director Brian Anderson delivered a keynote address in which he emphasized that AI/ML offers the unique opportunity to “create our future” as we travel down the path toward decarbonization. Frederick Streitz, science advisor for DOE’s Artificial Intelligence and Technology Office followed Anderson, noting the business growth that AI will enable. Darren Mollot, director of DOE’s Exploratory Research and Innovation rounded out the keynotes by discussing some of FECM’s investments in AI capabilities.