ARTIFICIAL INTELLIGENCE

We focus on solving AI’s most challenging issues, from building systems that automatically adapt to novel situations to creating AI that explains its own reasoning.

We focus on solving AI’s most challenging issues, from building systems that automatically adapt to novel situations to creating AI that explains its own reasoning.

ARTIFICIAL INTELLIGENCE

Generating new knowledge at the frontiers of this field, creating a future where humans and AIs collaborate—to drive cars, respond to disasters, and make medical diagnoses.

Human-Centric AI

Our advances in AI are improving medical training and care, helping save endangered species, and protecting our country. As leaders in the field of explainability, we are answering the global call to make AI systems trustworthy and accountable.

At Charles River, we believe AI systems are intended to serve people: to amplify their capabilities, protect their interests and well-being, and support—not replace—their decision making. To achieve these goals and maximize the potential benefits of AI, we focus on creating AI-human collaborative systems.

A Leading Laboratory

Charles River’s scientists and engineers have been doing cutting-edge research since our founding nearly 40 years ago. Our open, collegial lab collaborates with dozens of universities and research labs across the U.S. We are currently engaged in more than 200 R&D projects, focusing on some of the biggest challenges in AI. Find out more from these selected academic publications and presentations.

Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program

The authors discuss their key findings from the DARPA XAI program, which sought to “open the black box” of AI systems without sacrificing performance, and suggest future work in the field of explainable AI.

 

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Towards Incorporating Artificial Intelligence in the Mission Planning Process

The authors describe the application of joint cognitive system analysis and neural policy programs to create effective mission plans as well as a method for prototyping these approaches based on the StarCraft II strategy game.

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Probabilistic Programming: 
Past, Present, and Future

In this invited keynote, Dr. Avi Pfeffer describes the unique capabilities of probabilistic programming languages (PPLs) and the development of two PPLs at Charles River: Figaro™ and Scruff™.

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Or, view the complete list of AI publications from Charles River researchers.

Solutions That Work

We combine our in-house research with our deep insights from working with teams in the real world to produce AI solutions that work the way you expect them to. Our projects and products open new frontiers for the Government and business sectors, improving operations through reduced costs, increased efficiency, and enhanced performance of both humans and machines. 

Learn more about featured projects below, or view the complete list of our AI efforts.

Image of Charles River team working on AI project.

PSI-Coach

A socially intelligent AI coach for predicting and maximizing team performance

PRESCRIPTION

A system for understanding risks and vulnerabilities in the pharmaceutical supply chain

APPRIL

A probabilistic programming language to simplify machine learning

Image from Princess project from Charles River Analytics

PRINCESS

Probabilistic representation of intent commitments to ensure software survival

Image from CAMEL project from Charles River Analytics

CAMEL

Causal models to explain learning

Image from ALPACA project

ALPACA

A tool that strengthens trust in machine learning

News from Charles River

Charles River Analytics Uses Probabilistic Programming to Address Military Logistics Challenges for DARPA
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Scientists Teach Artificial Intelligence Agents to Know Their Own Strengths
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US Navy Awards Charles River Analytics Contract to Improve Understanding of Machine Learning
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Press

The eeDesignIt Podcast
AI and Robotics Will Always be Our Partners, Never Our Bosses

MIT Technology Review 
The U.S. Military Wants Its Autonomous Machines to Explain Themselves

The Wall Street Journal
Inside DARPA’s Push to Make Artificial Intelligence Explain Itself

Our passion for science and engineering drives us to find impactful, actionable solutions.