Through AMAIS, PNNL is developing new memory systems that can advance scientific computational research by broadening AI capabilities and powering high-speed analysis of large datasets.

The AI-Driven One Health Security activities at PNNL are focused on disrupting health threats and their impacts.

Pacific Northwest National Laboratory (PNNL) is advancing AI that unlocks new scientific discoveries, ensures reliable energy, and strengthens national security through the Center for AI @PNNL and its partnership with the Department of Ener

PNNL and ORNL are working together on Digital Twins to modernize the U.S. hydropower plant fleet, which will reduce operating costs, improve reliability, reduce downtime, enhance grid resiliency, and reduce environmental impacts.

PNNL is launching a new foundational capability to address broad, complex energy security challenges our country faces.

Usable and explainable models for global-scale, cross-lingual proliferation expertise identification and forecasting.

Pacific Northwest National Laboratory’s Generative AI Investment aims to harness this transformative technology to drive innovation across the science, energy, and security research domains.

PNNL is a key partner in the Department of Energy (DOE) Genesis Mission, which is developing a powerful AI platform to accelerate scientific discovery, drive energy innovation, and strengthen national security.

PNNL deploys advanced drone systems to tackle the nation’s most pressing challenges in energy, environmental remediation, and national security.

The Isotope Program at PNNL supports scientific advances in the production and use of radioisotopes for research, medicine, and industrial applications.

PNNL is heavily engaged in the development and use of mass spectrometry technology across its science, energy, and security missions, from fundamental research through mature operational capabilities.

Pacific Northwest National Laboratory supports innovations in data analytics, instrumentation, and experimental techniques for the Northwest (NW) Biopreparedness Research Virtual Environment (BRaVE) Initiative.

Physics-informed machine learning (PIML) is a modeling approach that harnesses the power of machine learning and big data to improve the understanding of coupled, dynamic systems.

PNNL data scientists and engineers will be presenting at NeurIPS, the Thirty Fourth Conference on Neural Information Processing Systems, and the co-located Women in Machine Learning workshop, WiML.