AI-Driven Virtual Sensors Achieve Breakthrough in Nuclear Reactor Monitoring

US nuclear reactor monitoring to get 1,400 times faster with new AI

Discover the benefits of nuclear power and its role in fuel efficiency, along with machine learning's impact on safety.

Using AI to monitor inaccessible locations of nuclear energy systems

NCSA and Illinois Computes collaborated in research aiming to improve the monitoring systems of nuclear energy production.

California Nuclear Plant Integrates AI for Efficiency

Oil Price By Haley Zaremba – Apr 13, 2025, The Diablo Canyon nuclear power plant in California is utilizing AI technology to improve the efficiency of its document retrieval processes, aiming to reduce the time and resources spent on managing technical documentation. While the initial use of AI is limited to document retrieval, there are concerns among lawmakers and watchdogs regarding the potential for broader automation and the safety implica…

Artificial intelligence is increasingly entering the field of nuclear power, offering new tools for designing and managing reactors. The American Argonne National Laboratory has developed the PRO-AID (Parameter-Free Reasoning Operator for Automated Identification and Diagnosis) system, which monitors the operation of the power plant in real time and signals any irregularities.

Government-funded AI tool developed to help monitor and manage nuclear reactors

The Argonne National Laboratory has developed an AI system that can help with various aspects of nuclear reactor management.

AI-Powered Virtual Sensors Transform Nuclear Energy Monitoring For Safer Systems

Researchers have developed machine learning-driven virtual sensors using Deep Operator Neural Networks (DeepONet), enabling real-time monitoring of nuclear energy systems with unprecedented speed and accuracy, addressing challenges in inaccessible locations and enhancing safety and efficiency.