Computing and Analytics Division
Computing and Analytics Division
|
Computational Mathematics and StatisticsDeveloping novel computational modeling and data analysis methodologies, techniques, and tools to solve complex problems and extract hidden features, anomalies, and signatures that support discovery. Key projects and initiatives |
|
CybersecurityAdvancing methodologies, algorithms, and tools to equip cyber defenders; enabling stronger, more resilient technologies and systems; and understanding, predicting, and defending complex adaptive systems. Key projects and initiatives |
|
High-Performance ComputingDelivering the science, technology, and leadership to create and enable new computational capabilities that solve challenges using extreme-scale simulation, data analytics, and machine learning techniques. Key projects and initiatives
|
|
Machine LearningAdvancing the understanding of traditional and contemporary artificial intelligence with application to scientific, energy, and national security problems. Key projects and initiatives |
|
Data AnalyticsApplying scientific and mathematical techniques to develop novel, scalable algorithms designed to run on leadership-class machines, commodity hardware, or commercial cloud service providers. Key projects and initiatives |
|
Operational AnalysisEmploying open-source and other information sources to identify threats to critical networks and systems and create tools for more efficient detection of those threats. |
|
Software EngineeringCombining domain knowledge and software engineering expertise to produce high-quality software and deliver well-architected, software-centric systems. Key projects and initiatives |
|
Visual AnalyticsCreating capabilities that bring together interactive visualizations with advanced automated data analysis techniques, enabling users to gain deeper insights from their data. Key projects and initiatives |