Neuromorphic Computing for Low-Power Artificial Intelligence

ArXi:2604.04727v1 Announce Type: cross Classical computing is beginning to encounter fundamental limits of energy efficiency. This presents a challenge that can no longer be solved by strategies such as increasing circuit density or refining standard semiconductor processes. The growing computational and memory demands of artificial intelligence (AI) require disruptive innovation in how information is represented, d, communicated, and processed.