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

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

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

SEI chief technology officer Tom Longstaff describes the SEI’s approach to the predicted generative AI revolution.

The U.S. Air Force (USAF) is replacing the 50-year-old Minuteman III intercontinental ballistic missile with its Ground Based ...

SEI engagements with two defense agencies addressed AI workforce development and the operationalization of responsible AI in ...

The Department of Defense (DoD) faces two crises in microelectronics: lack of American manufacturing capacity and hardware ...

Hasan Yasar, SEI technical director, Continuous Deployment of Capability, and his team provide expertise for implementation ...

We are developing a suite of tools to automate ML mismatch detection and demonstrate how to extend descriptors to support testing of ML-enabled systems.

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

Uncertain network environments and multiple cloud service providers complicate zero trust implementation in Army deployments.

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