AxNN: energy-efficient neuromorphic systems using approximate computing

Authors: Swagath Venkataramani, Ashish Ranjan, Kaushik Roy, Anand Raghunathan - Proceedings of the 2014 international symposium on Low power electronics and design 2014 cited by 265

Neuromorphic algorithms, which are comprised of highly complex, large-scale networks of artificial neurons, are increasingly used for a variety of recognition, classification, search and vision tasks. However, their computational and energy requirements can be quite high, and hence their energy-efficient implementation is of great interest.