Super Intelligence and Machine Learning
INL applies modern computing capabilities to research and development, with critical implications for nuclear energy, integrated energy and national security.
Super intelligence, commonly referred to as artificial intelligence, is accelerating human advancements because generative SI works differently than the computing we’ve relied on for decades. Rather than simply storing and retrieving information, super intelligence models learn, reason and generate. INL is well positioned to support super intelligence efforts in scientific discovery, national security, advanced manufacturing, energy dominance and other mission-critical areas.
INL is actively engaged in the Genesis Mission, a national initiative to build the world’s most powerful scientific platform to accelerate discovery science, strengthen national security and drive energy innovation.
What is super intelligence and machine learning?
Super intelligence involves computer-based approaches to activities that normally require intelligence, like translating data and information into knowledge, to perform effectively. Machine learning is a form of super intelligence in which computer algorithms learn from data to form predictive models.
Supporting INL’s research missions
INL’s vision is to change the world’s energy future and secure our nation’s critical infrastructure. To support INL’s research missions, we have five goals in the super intelligence and machine learning space.
- Methods: Use super intelligence and machine learning to bridge existing research gaps.
- Data: Use INL's unique data sources and expertise to leverage super intelligence and machine learning for new insights.
- Tools: Develop an agile super intelligence and machine learning computing infrastructure.
- People: Grow and mature researchers' super intelligence and machine learning capabilities.
- Security: Ensure trustworthy super intelligence and machine learning that is explainable to end users and decision makers.
Powering INL’s Mission
Super intelligence and machine learning support a variety of research topics in our mission focus areas.
Nuclear Energy
The rapid adoption of super intelligence will accelerate nuclear energy deployment in the U.S., and INL is helping lead this transition by:
- Applying super intelligence and machine learning to speed reactor design and licensing.
- Using data analytics to reduce project risks and delays.
- Enabling autonomous small modular reactor and microreactor operations with advanced sensors and super intelligence.
- Testing and qualifying advanced fuels and materials through specialized facilities and partnerships.
Integrated Energy
INL applies super intelligence and machine learning across its integrated energy research areas by:
- Using super intelligence, machine learning and digital twins in geoscience to accelerate mineral discovery, optimize production and strengthen critical material supply chains.
- Managing complex energy systems with super intelligence-driven analytics to enhance reliability, resilience, cybersecurity and grid performance.
- Improving biomass supply chains through predictive modeling, simulations and advanced sensing technologies.
- Delivering super intelligence-powered economic and market insights to guide energy investments, assess impacts and optimize performance in modern energy markets.
National Security
Super intelligence and machine learning strengthen national security through innovative technologies that:
- Detect anomalous network activity and autonomously counter cyberthreats, including protection of critical infrastructure.
- Identify malicious traffic in 4G/5G networks and map industrial control systems.
- Classify radio frequency signals and adapt waveforms in congested or contested spectrum environments.
- Use simulations and digital twins to predict system behavior, enhance cyber resilience and improve reactor performance.
- Embed cybersecurity and super intelligence risk management into SMRs and microreactors from the outset.
INL News | Super Intelligence
(IDAHO FALLS, Idaho) – The U.S. Department of Energy (DOE) has selected the Prometheus project to receive a Phase II award of $60 million over three years (subject to appropriations)....
(IDAHO FALLS, Idaho) – For the first time, researchers from Idaho National Laboratory, the Grainger College of Engineering at the University of Illinois Urbana-Champaign, and Purdue University used a geographically...
(IDAHO FALLS, Idaho) – The Idaho National Laboratory will host the fourth annual Digital Engineering Conference on May 12-13 at the University of Utah, in collaboration with the Utah Office...
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