Building bottom-up Neuromorphic or Analog-AI Software for autonomous Vision Sensing at the edge or extreme Edge
Building bottom-up Neuromorphic or Analog-AI Software for autonomous Vision Sensing at the edge or extreme Edge
Bringing the nature-evolved efficiency of the intelligence of the bees and insects to the world of physical-AI.
To capture the efficiency of "biological intelligence" in developing ultra-low power and -latency analog-AI software for autonomous robotics at the edge or extreme edge.
Current Gen-AI or Big-AI models are very large, and inherently not suitable for autonomous robotics at the edge or extreme-edge under noisy conditions
Using Computational-Biology models of the neurology of Honeybees, we pioneer massively-modular Evolutionary, Reconfigurable, Neuromorphic-AI (ERN-AI©) Software made of micro-data trained "AI-Lego-Blocks" for scalable Computer Vision applications at the edge.
