Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning
PNNL Paper Ranks Among Journal’s Top 10% Most-Read Publications
A decade-long evolution in making omics data easier to analyze earns widespread recognition.
PNNL @ IPDPS 2022
PNNL researchers organize workshops and present their latest research findings in parallel computation.
PNNL Research Featured at World's Second-Largest Machine Learning Conference
PNNL showcased its expertise in AI, machine learning, and related domains at the International Conference on Machine Learning.
PNNL @ NeurIPS 2023
PNNL will be at the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), Sunday, December 10 through Saturday, December 16.
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.
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.