Machine Learning

The US Department of Energy (DOE) will provide $16 million in funding for advanced research in machine learning (ML) and artificial intelligence (AI).

The funding will support two sets of projects.

The first set focuses on the development of ML and AI for predictive modeling and simulation for research across the physical sciences.

Related articles:
Top four sensor technologies disrupting future smart cities
US injects $1 billion into quantum information science technologies
DEWA partners to accelerate UAE’s adoption of AI and cloud computing

The second set of projects focuses on basic ML and AI research for “decision support” in managing complex processes similar to those found in self-driving cars, where ML and AI can make or aid in making decisions in real time. 

The projects, which are led by a mix of universities and DOE national laboratories, were chosen by competitive peer review under two separate DOE Funding Opportunity Announcements namely the ‘Scientific Machine Learning for Modeling and Simulations‘ and the ‘Artificial Intelligence and Decision Support for Complex Systems‘.

The announcements were made by the Office of Advanced Scientific Computing Research (ASCR) within DOE’s Office of Science.

The five modeling and simulation projects will be funded at a total of $3 million over two years.

The six support projects will be three years in duration, for a total of $13 million, with $7 million in Fiscal Year 2020 dollars and outyear funding contingent on congressional appropriations.

Dr. Chris Fall, Director of DOE’s Office of Science, said: “We are making enormous strides in adapting machine learning and artificial intelligence to a wide range of scientific and operational challenges.

“These projects will strengthen ML and AI as tools both for scientific investigation and for the management of complex processes.”

Lists of the projects can be found on the ASCR homepage under the heading ‘What’s New.’