TOOL-VAN
A system for easier deep learning verification to build confidence in autonomous systems
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
Explainable AI (XAI) promotes trust by providing reasons for all system outputs—reasons that are accurate and human-understandable. Our XAI does more than provide correlation-based explanations of AI system outputs: it offers deep insight and causal understanding of the decision-making process.
A system for easier deep learning verification to build confidence in autonomous systems
A testing framework to improve railroad safety through human-AI interaction analysis
A framework that provides decision-making insight into DRL-based AI agents
An AI-based maintenance system that keeps robotic combat vehicles mission ready
A tool that strengthens trust in machine learning
Tools that make DRL agents understandable and trustable
Causal models to explain learning
A secure neural network that protects sensitive information