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

Certificate program enables practitioners within insider threat and insider risk management programs to apply these ...

A lack of transparency about artificial intelligence (AI) decision-making processes can make it challenging for end users to ...

This blog post explores large language models (LLMs) in software development, implications of incorporating LLMs into software-reliant systems, and areas where more research is needed to advance their ...

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

This SEI Blog post discusses the four types of shift-left testing and their benefits.

The Software Engineering Institute is part of Carnegie Mellon University and partners with Carnegie Mellon on a number of ...

A reproducibility challenge faces machine learning (ML) systems today. This post explores configurations that increase reproducibility and provides recommendations for these challenges.

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

The SEI worked with early adopters of the policy to test its efficacy and deliver capabilities to warfighters.

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

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