Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.


Posts Tagged ‘GTO

 

U.S. Department of Energy Request for Information on Machine Learning for Geothermal Energy and the Geosciences

May 22nd, 2018 / in Announcements, policy, research horizons, Research News / by Helen Wright

The following is a Request for Information (RFI) from the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy.  The Geothermal Technologies Office (GTO), within the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy, announces an RFI seeking feedback from industry, academia, research laboratories, government agencies, and other stakeholders regarding research opportunities associated with applying machine learning techniques toward challenges in the geosciences that are relevant to geothermal energy. With respect to the overall goals of establishing the practice of machine learning in the geothermal industry and maximizing the value of the rich datasets available to the geosciences, GTO is seeking input in three areas: Identifying […]