Software Engineering Institute (SEI) is marking 40 years as a cornerstone of advancing software as a strategic advantage for ...

Assuring that Agile implementation outcomes meet senior stakeholders’ expectations is not a given. In this webcast, Peter Capell addresses the role of a practical vision to meet those expectations, ...

Artificial Intelligence (AI) Division invites AI researchers and practitioners to submit contributions to its Engineering ...

The Software Engineering Institute is leading and advancing software and cybersecurity to solve the nation's toughest problems.

Estimating fuel savings from aircraft modifications is a laborious process for Air Force experts, but not for an SEI machine ...

In this webcast, Dr. Eric Keylor, Intae Nam, and Dominic Ross go beyond traditional knowledge and skill assessments as they introduce prototype tools that reveal key information about evaluating ...

The SEI has created and delivered more than 150 hours of training materials to fill the gap on AI Engineering for the Department of Defense.

The goal of this research is to detect machine learning model uncertainty and mitigate its effects on the quality of model inference.

A new report assembles guidance on the testing and evaluation of machine-learning models for aerial object detection.

A guide on responsible AI is influencing commercial prototyping and acquisition programs in the Department of Defense.

UC2 will significantly increase interoperability between diverse DoD platforms while minimizing engineering and operational costs and constraints on system design. The DoD will benefit from easier ...

Researchers, vendors, and government bodies gathered to share solutions for implementing a zero trust architecture.