Purvine Elected to American Mathematical Society Council
Emilie Purvine, a chief data scientist at PNNL, was elected as a council member at large of the American Mathematical Society.
Sharing the Load Speeds Machine Learning
In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.
PNNL @ SC22
PNNL computer scientists will be presenting the latest research in high-performance computing (HPC) at SC22, the International Conference for High Performance Computing, Networking, Storage, and Analysis.
Four PNNL Researchers Named to Washington State Academy of Sciences
The Washington State Academy of Sciences consists of more than 300 elected members who are nationally recognized for their scientific and technical expertise.
AI Effort Moves from Novelty to Front Lines of National Lab’s Cyber Protection
PNNL cyber defenders are using the Laboratory’s own artificial intelligence research to recognize and address threats quickly.
Project Schedule Visualizer
The user-friendly Project Schedule Visualizer software developed at PNNL helps users readily identify and understand the impacts of updates to the schedule, budget, and risks associated with large, complex projects that cross departments.
Math Primes High-Performance Computing for the Age of AI
To overcome high-performance computing bottlenecks, a research team at PNNL proposed using graph theory, a mathematical field that explores relationships and connections between a number, or cluster, of points in a space.