This foundational research will help keep the United States in the forefront as applications for ML and AI rapidly expand.
The U.S. Department of Energy (DOE) last week announced a $30 million funding grant for advanced research in artificial intelligence and machine learning.
DOE is focused on two separate topics: predictive modeling and simulation of physical sciences and management of complex systems.
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Building models and simulations is a time-consuming process, with lots of data gathering required. AI offers an alternative to traditional programming methods, while also potentially speeding up the process.
Computer systems are already in use to monitor complex systems, like a power grid or organization’s cybersecurity, but with AI monitoring could turn into insights and proactive decision making.
In the case of a power grid, embedding AI may lead to significant cost savings, as it can be used to notify of potential blackouts or faults, before they become a critical issue.
“Both AI and ML are among the most powerful tools we have today for both advancing scientific knowledge and managing our increasingly complex technological environment,” said Under Secretary for Science, Paul Dabbar.
“This foundational research will help keep the United States in the forefront as applications for ML and AI rapidly expand, and as we utilize this evolving technology to solve the world’s toughest challenges such as COVID-19.”