Fast forward through the next decade of my academic career (neural coding and cyborgs) and my first few startups (AI for education and jobs), and I had built a reputation as the crazy lady seeking to “maximize human potential. ” When the ill-fated Google Glass, a wearable smartphone masquerading as a pair of glasses, was launched by throwing some guys out of a blimp, I was invited to explore ideas for what could be done beyond social posts and family videos.
Simply wearing Glass while continuing everyday social interactions with others allowed these kids to learn that secret language of facial expressions; it’s the real-time version of the flashcard-based emotion-recognition training using cartoon faces on cardboard.
Drawing from that old CIA project and my years of machine-learning research, I began to build face- and expression-recognition systems for Glass. (In truth, the crappy little processor would heat up like a bomb, so the system required an extra computer strapped to the user’s back to work—not exactly Iron Man.
They’re already transforming many people’s lives today: cochlear implants for deafness, retinal implants for the blind, motor neuroprosthetics for the paralyzed, and deep brain stimulation for a rather extraordinary array of disorders, including depression and Parkinson’s.
Simply being born into poverty and stress robs children of their cognitive potential, whereas having wealthy parents dramatically impacts a child’s outcomes, even working memory.
In a world that values difference, untypical humans paired with neuroprosthetics might become even more powerful than fully abled ones.
Why I’m turning my son into a cyborg https://t.co/T7FvqB1YdN— Digg Tech (@diggtech) July 17, 2019