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:

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

SOLAR

A mixed reality application suite for space situational awareness

POWERED

A predictive health and maintenance app for critical energy equipment

PSI-Coach

A socially intelligent AI coach for predicting and maximizing team performance

chess

COLTRANE

A system that helps AI systems navigate novel situations

Image from ALPACA project

ALPACA

A tool that strengthens trust in machine learning

MERLIN

Autonomous learning applied to robotic swarm tactics

Image of soldiers holding weapons.

PISA

A system to help soldiers maintain situational awareness

SAIL

An infrastructure for increasing the resilience of US Navy Ships

CRITICAL

CRITICAL

A surveillance system to provide early detection of attacks targeting army installations

PLEDGES

A new machine learning approach with probabilistic modeling

Image from CAMEL project from Charles River Analytics

CAMEL

Causal models to explain learning

PICASSA

A system to better understand potential threats in space

Simulated image of Charles River Analytics project VIBE.

VIBE

An interactive researcher’s workbench for ATR algorithms

Image from Shepard project from Charles River Analytics

SHEPARD

Supervisory HMI enabling practical autonomous robot direction

SPNN

A system to combat nicotine dependency and mitigate relapse

Image from Princess project from Charles River Analytics

PRINCESS

Probabilistic representation of intent commitments to ensure software survival

APPRIL

A probabilistic programming language to simplify machine learning

Image from COMPASS project from Charles River Analytics

COMPASS

A weather and climate forecasting tool for mission planning

Image from Prime project from Charles River Analytics

PRIME

Performance analysis tools for enterprise-deployed systems

Image from FEATS project from Charles River Analytics

FEATS

A framework to ensure and assess trustworthiness in sensor systems