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A tool to assess mental health
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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
By enhancing programming languages with probabilistic capabilities, we are able to create systems that can help make decisions in the face of uncertainty. Scientists and engineers at Charles River have been leaders in the field of probabilistic programming since its earliest days. Our current work includes developing probabilistic programming languages (PPLs) and applying PPLs to specific challenges, such as missile defense, space object classification, and the health of engineered systems.
A tool to assess mental health
XR for space domain awareness
A wildfire risk assessment and mitigation solution for homeowners and communities
A framework for building artificial intelligence systems
A tool to enable more robust AI model development
Probabilistic programming solution for supply chain and logistics
An AI-based maintenance system that keeps robotic combat vehicles mission ready
A predictive health and maintenance app for critical energy equipment
A socially intelligent AI coach for predicting and maximizing team performance
A system that helps AI systems navigate novel situations
A system to formalize course-of-action (COA) modeling
A new machine learning approach with probabilistic modeling
A system for understanding risks and vulnerabilities in the pharmaceutical supply chain
Probabilistic extensions for the Systems Modeling Language
Probabilistic Reasoning for System Components Onboard US Naval Vessels
Technology to evaluate the effectiveness of privacy-aware systems
A probabilistic programming language to simplify machine learning
An open-source probabilistic programming language
Software to detect and analyze malware attacks
