PNNL Contributes to a Safe World Cup
PNNL scientists were among the specialists keeping the crowds safe at the recent FIFA World Cup competition.
Massive Datasets Meet Their Match
An award-winning computing method called poly-streaming accelerates the analysis of massive datasets while using limited memory.
Scientists Speed Up the Groundwork Essential for Quantum Computing
Researchers have created an algorithm that slashes the calculations necessary to prepare and customize data for quantum computing.
Integrating Domain Science Data with Artificial Intelligence
Neeraj Kumar discusses how AI can transform scientific research at the Platform for Advanced Scientific Computing Conference and Trillion Parameter Consortium European Workshop.
New AI Agent Connects Computer Reasoning with Chemistry
CACTUS provides AI-powered cheminformatics for autonomous science.
Data Scientist Fixes His Sights on Speeding Up Drug Discovery
Scientists are using artificial intelligence and powerful computing to sculpt new molecules in an effort to treat disease.
Decoding Protein Interactions with Domain-Aware Machine Learning
Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.
Preparing for a Future Pandemic with Artificial Intelligence
PNNL data scientists are refining their artificial intelligence tools with COVID-19 data to advance therapeutics and treatments for a future pandemic.
From Molecule to Medicine via Machine Learning
PNNL computational biologists, structural biologists, and analytical chemists are using their expertise to safely accelerate the design step of the COVID-19 drug discovery process.
Joining Forces for Trustworthy Artificial Intelligence
PNNL is one of the founding partners of the Trillion Parameter Consortium, which was formed to create reliable generative AI models.