ResCon's patent-pending reservoir computing algorithms allow for implementation of robust AI/ML processes on small, low-power devices such as sUAS flight controllers. This breakthrough in Machine Learning is up to one million times faster than traditional approaches.
ResCon's adaptive autopilot makes sUAS safer and more efficient thanks to real-time adjustment to current conditions including weather and equipment status. The lightweight algorithm can be hosted directly on organic microcontrollers, eliminating the need for companion computers or cloud connections.
Reservoir computers can be implemented in layers on edge computing devices, with a legacy controller at the lowest level if desired. This simulation shows a PID-controlled system sustaining damage and becoming unstable. A reservoir computer rapidly learns the deviation and takes control of the system, after which a second reservoir computer trains and takes control of the first. Note how little training time is required.
Video credit: Dr. Daniel Canaday
ResCon co-founder Dr. Gauthier's groundbreaking 2021 paper introducing NG-RC
Applying NG-RC to the difficult ML benchmark of modeling a system with chaos
Images of aircraft are for illustration purposes only and are not meant to imply a business relationship with any hardware manufacturer.
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