Based in Dallas, James Ambrose Meyer leads Nebulr and drives innovation in the cloud computing sphere through a proprietary protocol for storage platforms. Passionate about technology, James Ambrose Meyer has a particular interest in robotics.
One advancement driven by the University of Michigan Medical School researchers involves amplification of the faint and latent signals that arm nerves generate in creating a next-generation robotic hand prosthetic. Enabling finger-level control that is intuitive and real-time, the prosthetic relies on machine learning algorithms taken from already developed brain-machine interfaces.
To create precision in prosthetic control, the nerve endings in the arm have been manipulated, with thick nerve bundles separated into thinner fibers that provide signals used for various movements. Those tested in the lab to date include moving the prosthetic thumb within a continuous range of motion, lifting spherical objects, and picking up blocks using a pincer grasp.
One of the most remarkable advancements in this technology is that it is completely intuitive, with no learning required. Rather, the robotic hand simply responds to people’s thoughts and nerve impulses, from the moment it is attached.
James Ambrose Meyer 