Biology-inspired brain model matches animal learning and reveals overlooked neuron activity

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
IEEE

Inverse Design of Frequency Selective Surface Using Physics-Informed Neural Networks

Abstract: This paper uses Physics-Informed Neural Network (PINN) to design Frequency Selective Surface (FSS). PINN integrates physical information into the loss function, so training PINN does not ...
IEEE

Design and Analysis of Energy Efficient Approximate Multipliers for Image Processing and Deep Neural Network

Abstract: Numerous obstacles in enhancing the performance of computing systems have spurred the emergence of approximate computing. Extensive studies have been reported on approximate computing to ...