PNNL is advancing the frontiers of scientific research and national security by understanding and improving contemporary data analytics and artificial intelligence with application to scientific problems.
Contemporary deep learning has enabled a next generation of artificial intelligence applications, opening the door to potential breakthroughs in many aspects of our lives. Recently, PNNL researchers teamed up to explore how deep learning could help interpret signals from radioactive decay events. Analyzing data collected in PNNL’s Shallow Underground Laboratory, tests showed that the algorithm separated signal events from instrument “noise” with nearly 100 percent accuracy. Findings from this research could indicate underground nuclear testing, for example, or a rapidly depleting aquifer.
Data collected from systems—ranging from field sensors to commercial vendor data services—often are incomplete and require specialized software to be usable. PNNL has extensive experience augmenting metadata and applying semantic technologies and other processing techniques to provide additional context and meaning for data. Our experience spans local data access to highly distributed data collections, as well as traditional storage systems to high-performance warehousing technologies and cloud-based solutions.
In the energy sector, systems are changing rapidly as technology evolves and new sources of energy generation come to fruition. VOLTTRONTM is a platform for integrating software and smart device operations and communications over the power grid. It provides an environment where a wide range of data and devices connect seamlessly and securely to make decisions based on user needs and preferences – improving system performance in buildings, and creating a more flexible and reliable grid.
Data analytic technologies are also having an important impact in the biomedical field. The discovery of cancer biomarkers offers the prospect of earlier diagnosis, more accurate prognosis, effective monitoring of therapeutic response, and the opportunity to target patient treatment. P-Mart (Panomics Marketplace: analyses via reproducible techniques) is an interactive web-based tool for biomedical scientists to analyze global proteomics data, enabling the analysis and integration of omics data in a robust and reproducible manner.
Our data analytics and machine learning methods – including capabilities in graph, streaming, and high-performance data analytics – are separating useful data from noise, increasing predictive power and efficiency of computational models, and aiding in decision making to address critical national and global issues. We apply scientific and mathematical techniques to develop novel, scalable algorithms designed to run on leadership-class facilities or commodity hardware.