Artificial intelligence currently demands immense energy, already accounting for over 10% of U.S. electricity consumption, and this demand is rapidly escalating. However, researchers have introduced a revolutionary method that promises to reduce AI’s energy footprint by as much as 100 times, all while simultaneously boosting its accuracy.
This innovation is achieved by integrating neural networks with human-like symbolic reasoning, enabling systems, particularly robots, to process information more logically rather than depending on extensive trial and error.