Trained On 53 Million Pages: US Supercomputer-Backed Tool To Search Nuclear Reactor Data

Authored by Aman Tripathi via Interesting Engineering,

Nuclear power stations across North America have begun using a dedicated virtual system called NIVA. The software was created by Atomic Canyon in collaboration with the Electric Power Research Institute, the Institute of Nuclear Power Operations, and the Nuclear Energy Institute.

Atomic Canyon collaborated with Oak Ridge National Laboratory to train the FERMI models. (Representational image)

It provides engineers and technicians across the commercial reactor fleet with an automated method to query vast archives of technical, operational, and regulatory records.

"The U.S. nuclear sector sits on decades of invaluable technical and operational knowledge, but too much of that knowledge remains difficult to access at the speed modern deployments require," said Trey Lauderdale, Founder & CEO, Atomic Canyon.

"The fleetwide availability of NIVA shows that AI in nuclear power is real, operational, and ready to be deployed responsibly at a fleetwide scale."

Technical architecture for model training

The technological foundation of the platform rests on a specialized model family named FERMI. Standard, general-purpose language systems frequently fail to parse the dense technical terminology, precise abbreviations, and domain-specific syntax common in nuclear engineering. FERMI was built to resolve this issue by interpreting technical meaning rather than simply scanning for exact keyword occurrences.

Atomic Canyon collaborated with Oak Rid