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

Machine Learning and Neural Networks

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Machine Learning and Neural Networks

Our machine learning research and development identifies patterns in data using a variety of approaches, including reinforcement learning, deep learning, anomaly detection, and cluster analysis. We use these patterns to better understand the world and to make better predictions and decisions.

Related Projects:

Scruff™

A framework for building artificial intelligence systems

POWERED

A predictive health and maintenance app for critical energy equipment

PSI-Coach

A socially intelligent AI coach for predicting and maximizing team performance

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COLTRANE

A system that helps AI systems navigate novel situations

Image from ALPACA project

ALPACA

A tool that strengthens trust in machine learning

PISA

A system to help soldiers maintain situational awareness

SAIL

An infrastructure for increasing the resilience of US Navy Ships

CRITICAL

CRITICAL

Surveillance system providing detection of attacks targeting army installations

Explainable AI from Charles River Analytics will enhance mission planning and operations for the Navy and Marine Corps.

EXTRA

Tools that make DRL agents understandable and trustable

CAMEL

Causal models to explain learning

SPNN

A secure neural network that protects sensitive information

PRINCESS

Probabilistic representation of intent commitments to ensure software survival