Artificial Intelligence Drives Design, Discovery, and Testing of Targeted Therapeutics against SARS-CoV-2
Data-driven autonomous technology to rapidly design and deliver antiviral interventions targeting SARS-CoV-2 to reduce drug discovery timeline and advance bio preparedness capabilities.
Jung Lee Joins Frontiers in Computational Neuroscience Editorial Board
Data scientist Jung Lee accepted the position of review editor for Frontiers in Computational Neuroscience after serving as a guest editor for a special issue.
PNNL @ AAAI 2023
PNNL researchers bring their expertise to the 37th AAAI Conference on Artificial Intelligence.
Understanding and Predicting Extreme Rainfall Events through Machine Learning
Machine learning models help identify important environmental properties that influence how often extreme rain events occur with critical intensity and duration.
Atomic Fortune-Telling: Forecasting the Evolution of Chemical Reactions
Researchers developed a machine learning model that can analyze chemical reactions as they happen in an electron microscope.
Luttman Contributes to AI for U.S. Army Workshop
PNNL mathematician Aaron Luttman contributed to the organizing committee for workshop exploring robust machine learning and artificial intelligence systems for the U.S. Army.
Detecting Nuclear Threats with Artificial Reasoning
PNNL researchers use machine learning and data analytics to assist with detection of nuclear proliferation and nuclear material trafficking.
PNNL’s Expertise in AI, Machine Learning Highlighted at Neural Information Processing Systems Conference
As leaders in AI and machine learning, PNNL experts are sharing their latest findings at the 36th annual Neural Information Processing Systems (NeurIPS) Conference, Nov. 28–Dec. 9, 2022.