Williams Elected 2021 Chair of IEEE Seattle Section
Joseph Williams, PNNL Seattle Research Center director, was elected chair of the Institute of Electrical and Electronic Engineer’s Seattle section.
Deep Learning Trains Buildings to Optimize Efficiency
New approach allows nonexperts to optimize control of a building's energy systems without adding computing power or proprietary software.
PNNL and NC State Team up to Create Grad Research Program
New Distinguished Graduate Research Program will provide opportunities for North Carolina State University doctoral students to tackle real-world data science challenges alongside PNNL scientists.
Computing and Analytics Interns Aid Development of Airport Risk Assessment Model
More than 30 PNNL interns contributed to the Airport Risk Assessment Model, a web-based tool that helps airport security stakeholders prioritize resource allocations.
PNNL Team Wins Best Paper at Two Conferences
A team of PNNL researchers are looking at how to evaluate robustness and accountability, fairness, and transparency of artificial intelligence models used to detect and quantify deceptive content online.
Zeroing in on Zoonotic Diseases
A Q&A with Lauren Charles, veterinarian and PNNL data scientist, on zoonotic diseases and the role biosurveillance plays in mitigating the growing threat to global health.
Revealing the Genes that Respond to Viral Infections
Hypergraphs can more faithfully identify important genes in complex immune responses.
Trusted and Responsible AI
PNNL has developed a tool suite of interactive analytics that can be rapidly integrated into analyst workflows to empirically analyze and gain qualitative understanding of AI model performance jointly across dimensions.
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.