POD  is  made  possible  by  BMC’s  breakthrough  multidisciplinary  approach  to  developing  nerve  cell-microprocessor  interfaces.

It has been known for more than a decade that neurons and other biological cell-types grown on the surface of microprocessors are able to exchange information with those microprocessors. Furthermore, recent advances in the fields of nanotechnology and materials science have allowed the construction of functional nanoprocessors many times smaller than the microchips that are commonly used in phones or computers today.

Using our proprietary neural stem cell technology combined with recent advances in synthetic genomics and synthetic biology, BMC Labs is able to direct the development of complex, self-organizing, synthetic neural ganglia capable of interacting with nanoprocessors constructed on graphene-treated silicon nanoparticles. The neural ganglia not only act as an additional memory store for the nanoprocessors, but are capable of linking individual nanoprocessors into powerful multi-processor networks with significantly enhanced computing power. These hybrid devices constructed from modified biological tissues and state-of-the art nanoprocessors (BioNanoHybrids™) provide the basis for POD and many other devices that BMC has in its development pipeline.

When implanted into a host animal and then treated with a regimen of cytokines and growth factors developed by BMC Labs, the nerve cells within a BioNanoHybrid™ are able to establish an efficient interface between the host’s central nervous system (CNS) and the nanoprocessor network in the NeuroNanoHybrid™. This interface is the critical feature that allows POD to function as an extension of the host’s memory and intelligence. The AI system installed on POD’s nanoprocessor array uses carefully designed heuristic programming techniques to learn to communicate with the host. First, the AI learns to interpret signals from the CNS, and then it learns to send meaningful responses to those signals. This learning process is greatly accelerated by training, or personalizing, POD’s AI system before the implantation.

Early studies with simple POD prototypes have shown that insects and small mammals enhanced with a POD could learn simple tasks, such as maze-running and food-finding, significantly faster, and could remember what they learned for longer, than genetically identical animals not fitted with a POD. The potential benefits for human hosts are much greater.

BMC Labs is confident that POD and POD-derived devices are the future of human-computer interfaces not only for implantable medical and prosthetic devices, but for implantable communications and information processing systems.