JARVIS
A system for discovering novel solutions to cyber-physical systems design problems
Menu
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
To be trustworthy, AI systems must be resilient, unbiased, accountable, and understandable. But most AI systems cannot explain how they reached their conclusions. Explainable AI (XAI) promotes trust by providing reasons for all system outputs—reasons that are accurate and human-understandable.
