Adaptive Systems Research Institute

AI research and development for education and defense.

The Adaptive Systems Research Institute studies AI systems that adapt to the people and settings they work with, and methods for testing that those systems do what they are meant to do.

Write to the institute Research areas

What the institute studies

An adaptive system changes what it does based on feedback from the setting it works in. A tutoring program that picks its next question from a student's last answer is one example.

The institute's research areas cover how adaptive systems are built, the fields where the institute applies them, and how they are evaluated.

Research areas

Research

Adaptive and agentic AI systems

AI systems that change their behavior in response to feedback, and agents that plan and carry out tasks over many steps. This area studies how such systems are designed and how they are kept under human direction.

SystemsHow adaptive systems are built

AI for learning and education

AI used in teaching and learning, such as tutoring software that adjusts to what a student already knows. This area studies how to build these tools and how to measure whether students learn more with them.

FieldsWhere the institute applies them

AI for defense and national security

AI that supports analysts and operators in defense work. This area studies how such systems perform when information is incomplete or an adversary is trying to mislead them.

FieldsWhere the institute applies them

Information security and AI cybersecurity

AI used to defend networks and software, and the security of AI systems themselves. This area studies how AI agents find and fix vulnerabilities, and how models and agents are attacked and protected.

FieldsWhere the institute applies them

Visual communication and multimodal AI

AI that works with images, video, audio and text together. This area studies how such systems explain information visually and how well people understand what they produce.

SystemsHow adaptive systems are built

Evaluation and assurance of AI systems

Methods for testing what an AI system does before and after it is put to use. This area studies how to gather evidence that a system will behave as intended, and how to report that evidence to the people who decide whether to field it.

EvaluationHow they are tested

Contact

Program managers, contracting officers and research partners can write to the institute through the contact form.

Write to the institute