The Shrike prototype merges machine-learning threat recognition and location capability with off-the-shelf unmanned aerial ...

The objective of this project is to develop a methodology for evaluating the capabilities of an AI defense using publicly ...

Three SEI studies evaluated the state of the practice of machine unlearning, bias auditing, and AI red-teaming.

The five-year relationship has helped the Army establish the technical underpinnings for important artificial intelligence ...

The videos below cover the AI topics Introduction to AI, Responsible AI, AI and the Workforce, and AI Engineering.

Our automated refactoring solution recommends ways to improve the modularity of existing software, significantly increasing ...

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

By participating in SEI classroom training, professionals prepare for the next steps in their careers and lives. Most ...

Our algorithms enable fully autonomous threat hunting by modeling threat hunting as a Cyber Camouflage Game (CCG).

SEI director and chief executive officer Paul Nielsen was inducted into the Cyber Security Hall of Fame in the fall of 2024.

The Center for Calibrated Trust Measurement and Evaluation (CaTE) aims to ensure DoD AI systems are safe, reliable, and ...

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