Neuromorphic computing for energy-efficient AI in edge devices – Complete Phd and Masters Thesis
[ad_1] Introduction Neuromorphic computing has emerged as a promising approach for implementing energy-efficient artificial intelligence (AI) algorithms on edge devices. These devices, such as smartphones, IoT devices, and drones, are typically limited in resources and…
Read More