Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision

Mainstream approaches to AI for autonomy and computer vision make use of data-, energy- and compute-intensive techniques such as deep learning, which struggle to generalize and are fragile and opaque. In contrast, natural intelligence has already solved the fundamental problems in vision and autonomy, even in compute packages as small as the insect brain. (For example, honeybee brains comprise approximately one million neurons, occupying one cubic millimeter and consuming microwatts of power.) In this talk we will outline how Opteran is pioneering a novel approach by reverse engineering real brain circuits to produce solutions for vision and autonomy that are orders of magnitude more performant in every aspect. This enables robust, efficient, fast and explainable autonomy in previously impossible use cases, from nano drones to logistics solutions that don’t require special infrastructure and that can adapt to novel scenarios.