Faster, More Informed Environmental Permitting with AI-Guided Support

It began with a simple question. Can we use artificial intelligence tools and techniques to speed up the arduous federal environmental permitting process for proposed energy-related projects?

The Department of Energy was tasked to make it happen in an October 30, 2023, White House executive order.?By April 2024, DOE had announced a $13 million VoltAIc initiative to streamline siting and permitting of critical clean energy infrastructure. PNNL data scientists and subject matter experts?received $300,000 to fund a pilot “PolicyAI” prototype to assist federal regulators in speeding the environmental review process.

Read the full article the PNNL website.

Celebrating 1 year of the Center for AI @ PNNL

Learn how we've been exploring the frontiers of AI to pioneer solutions that transform science, security, and energy.

Data Scientist Fixes His Sights on Speeding Up Drug Discovery

AI, computing, and vast datasets combine to create new opportunities.

Using Artificial Intelligence to Mine Protein Interactions Within Biological Literature

Computing and artificial intelligence aid scientists who seek to understand?function-driven design and control of biological systems.

Recent PNNL Publications

• Anomaly Detection and Approximate Similarity Searches of Transients in Real-time Data Streams
• Quantifying streambed grain size, uncertainty, and hydrobiogeochemical parameters using machine learning model YOLO
• Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience
• A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
• CACTUS: Chemistry Agent Connecting Tool Usage to Science
• MassiveGNN: Efficient Training via Prefetching for Massively Connected Distributed Graphs
• Bridging hydrological ensemble simulation and learning using deep neural operators
• Improving North American Wildfire Prediction by Integrating a Machine-Learning Fire Model in a Land Surface Model

Check out more AI publications on the PNNL website.

• U.S. AI Safety Institute Establishes New U.S. Government Taskforce to Collaborate on Research and Testing of AI Models to Manage National Security Capabilities & Risks (Department of Energy)
• Professor trains AI to detect foreign interference online (FIU News)
• Artificial Intelligence Has Entered the Nuclear Industry and Its Early Benefits Are Just the Tip of the Iceberg (POWER Magazine)
• El Capitan: New Supercomputer is the Fastest in the World (IEEE Spectrum)
• UChicago Medicine partners with Energy Department on AI (Becker’s Hospital Review)
• The 5th Paradigm: AI-Driven Scientific Discovery (Communications of the ACM)
• Google’s DeepMind tackles weather forecasting, with great performance (Ars Technica)

Join us at the Joint Mathematical Meetings!

PNNL researchers are organizing and presenting in more than 20 sessions and workshops.

JMM Workshop?

• Advances in Neural Operators and Uncertainty Quantification for Scientific Modeling

AMS Special Sessions

• Geometric and Combinatorial Methods in Deep Learning Theory
• Machine Learning to Accelerate Mathematical Discovery
• Mathematics, AI, and the Social Context of Our Work
• Mathematics of Knowledge Graphs: Theory and Application
• MRC Mathematics of Adversarial, Interpretable, and Explainable AI
• Topological, Algebraic, and Geometric Methods for Safe, Robust, and Explainable Machine Learning
• Topological and Algebraic Properties of Additive Manufacturing
• Topological Data Analysis: Theory and Applications
• Topological Machine Learning
• Variational Methods in Quantum Computing

Seeking a career in AI? Join PNNL, where people with great minds, diverse backgrounds, and incredible talent provide the nation’s foundation for discovery and innovation.