OUR CORE R&D / These systems range from individual

autonomous robotic platforms to large-scale, multi-agent systems

for information management, command & control

OUR CORE R&D

These systems range from individual  autonomous robotic platforms to large-scale, multi-agent systems  for information management, command & control

Probabilistic Programming

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Probabilistic Programming

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.

Related Projects:

POWERED

POWERED

A predictive health and maintenance app for critical energy equipment

PLEDGES

A new machine learning approach with probabilistic modeling

PRESCRIPTION

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

Image from ProSysML project from Charles River Analytics

PROBSYSML

Probabilistic extensions for the Systems Modeling Language

APPRIL

A probabilistic programming language to simplify machine learning

Image from FIGARO project from Charles River Analytics

FIGARO

An open-source probabilistic programming language

Image from Charles River Analytics project MAAGI

MAAGI

Software to detect and analyze malware attacks