PICASSA
A system to better understand potential threats in space
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OUR CORE R&D / These systems range from individual
autonomous robotic platforms to large-scale, multi-agent systems
for information management, command & control
These systems range from individual  autonomous robotic platforms to large-scale, multi-agent systems  for information management, command & control
Artificial Intelligence (AI) provides tools and techniques that not only cause machines to behave intelligently, but also allow them to learn how to increase that intelligence. Machines with AI can augment human intelligence by performing challenging but monotonous tasks on our behalf, analyzing large amounts of data to find patterns and anomalies, and helping us make optimal decisions in complex, data-rich environments. At Charles River, we believe that AI-based systems designed to work effectively with humans will be the critical element that maximizes the impact of AI, so our design processes and research efforts center on designing and building AI-human collaborative systems.
Our AI approach and tools open new frontiers for the Government and business sectors, improving operations through improved performance of both humans and machines, reduced costs, and increased efficiency. Our best-in-class AI tools are developed, tested, and tailored specifically to the needs of each customer and project. Our expertise spans the full range of AI technologies—Machine Learning, Probabilistic Modeling and Reasoning, Human-Machine Teaming, Natural Language Processing, Planning and Optimization, and Autonomy.
A system to better understand potential threats in space
A socially intelligent AI coach for predicting and maximizing team performance
A system that detects and prevents cybersecurity breaches in military ground vehicles
A tool that strengthens trust in machine learning
A tool to prioritize data collection
A social robotics system to help individuals with Alzheimer’s
A system to help soldiers maintain situational awareness
Swarm tactics to provide heterogeneous swarms of unlimited size with resilient swarm behavior in urban operations
A system to formalize course-of-action (COA) modeling
A system for understanding risks and vulnerabilities in the pharmaceutical supply chain
Causal models to explain learning
Cyber adversary modeling and simulation
A library of computer vision processing tools
An open source software package for multi-sensor fusion
An interactive researcher’s workbench for ATR algorithms
A human-machine interface for unmanned ground vehicles
Probabilistic extensions for the Systems Modeling Language
Supervisory HMI enabling practical autonomous robot direction
Helping analysts understand how stressors impact Warfighters
An adaptive, game-based, training environment
Probabilistic representation of intent commitments to ensure software survival
A probabilistic programming language to simplify machine learning
Avoiding malice with linguistics-inspired exploit testing
A weather and climate forecasting tool for mission planning
Performance analysis tools for enterprise-deployed systems
An interface for controlling robotic leader-follower systems
A toolkit that models individual and team cognitive state
A maritime traffic awareness solution for an unmanned surface vessel
An open-source probabilistic programming language
A toolkit to collect and analyze socio-cultural network data
A framework of crowdsourcing tools for formal software verification
Software to analyze and validate scientific theories and models using real-world data
A tactical decision aid to generate UAS mission plans
Software to detect and analyze malware attacks
A compact system for autonomously tracking and following
Decision-support tools for ISR collection management
A training tool to improve battlefield first-aid skills
A framework to ensure and assess trustworthiness in sensor systems
Training applications to teach Soldiers social and cultural skills
Copyright 2021: Charles River Analytics, Inc.