Now, at age 48, Olafsson can move his right ankle by thinking about it. When the electrical impulse from his brain reaches the base of his leg, a pair of sensors embedded in his muscle tissue connect the neural dots, and wirelessly transmit that signal to the Proprio Foot. Since the command reaches the foot before the wearer’s residual muscles actually contract, there’s no unnatural lag between intention and action.
UC Berkeley researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence.
Machine learning impact on the economy will be increased productivity and abundance, but far less human labour and judgement. We may need a system focused on more than just efficient production that places greater prioritization on the less desirable side effects of capitalism.