Energy Department NETL Seeks Insights on AI/ML Integration

The Department of Energy’s National Energy Technology Laboratory is seeking insights on how artificial intelligence and machine learning tools can help the agency manage challenges regarding carbon emissions and new energy sources.

Kelly Rose, senior fellow for computational science and engineering at NETL, AI/ML capabilities can be used for advanced material identification and innovation, atmospheric modeling, climate studies and carbon emission studies. Rose shared that NETL has a network of teams and individuals capable of starting AI/ML projects thanks to their knowledge in the space or their connections.

The senior fellow also pointed out that researchers are constantly integrating AI/ML capabilities into the Multiphase Flow with Interphase Exchanges model to support clean energy research and studies on alternative fuel sources and byproducts, Federal News Network reported Tuesday.

NTEL’s interest in AI/ML capabilities came months after Ann Dunkin, DOE chief information officer and a past Potomac Officers Club speaker, said the agency is ensuring that AI is used responsibly. According to Dunkin, the department wants its employees to take full advantage of AI/ML technologies to improve internal operations while adhering to best practices and responsible use guidelines.

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