Tag: Neuromorphic

Physics-Driven Neuromorphic Computing: Unlocking Brain-Like Energy Efficiency

By applying principles from various branches of physics, including semiconductor physics, materials science, and quantum physics, researchers in neuromorphic computing strive to emulate the energy-efficient nature of the human brain. This multidisciplinary approach enables the creation of computational systems that not only process information effectively but also do so with minimal energy consumption, making them well-suited for a wide range of applications and aligning with the brain’s remarkable energy efficiency.