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.
Ján Drgoňa Receives Best Paper Award
The Building and Environment journal named Drgoňa’s co-authored work one of 2022’s best papers.
PNNL Wins R&D 100 Awards
PNNL has received 119 R&D 100 Awards since 1969, when the laboratory began submitting entries in the contest that recognizes top 100 inventions each year.
Team Examines Human-Machine Teaming in Law Enforcement
Human-machine teaming may sound like something from the distant future. In “Human-Machine Teaming: A Vision of Future Law Enforcement” in Domestic Preparedness, Corey Fallon, Kris Cook, and Grant Tietje of PNNL examine this topic.
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.
Shadow Figment: Model-Driven Cyber Defense for Control Systems
PNNL Defines Macro Cyber Resilience in Journal of Information Warfare
For the second straight year, PNNL researchers are featured in a special edition of the Journal of Information Warfare. This issue explores the topic of macro cyber resiliency.
PNNL Using 5G to Unlock New Potential
One year ago, Verizon announced a partnership that made PNNL the U.S. Department of Energy’s first national laboratory with Verizon 5G ultra-wideband wireless technology.
Physics-Informed Machine Learning for Energy and Environment
Physics-informed machine learning (PIML) is a modeling approach that harnesses the power of machine learning and big data to improve the understanding of coupled, dynamic systems.
Chatterjee to Chair SRA Specialty Group on Security and Defense
Data Scientist Sam Chatterjee to chair security and defense specialty group of the Society for Risk Analysis.