Neuromorphic Computing for Next-Generation Vlsi Chips

Abstract

This study has been undertaken to investigate the determinants of stock returns in Karachi Stock Exchange (KSE) Compared to von Neumann's computer architecture, neuromorphic systems offer unique and novel solutions to artificial intelligence. Inspired by biology, this novel system has applied the modeling theory of the human brain by connecting neurons made with synapses to reveal new concepts of neuroscience. Many researchers have invested heavily in neuro-inspired models, algorithms, learning methods, neuromorphic system testing systems and using many compatible applications. Recently, some researchers demonstrated the power of Hopfield algorithms in some major hardware projects and saw significant progress. This paper introduces a comprehensive review and focuses on the Hopfield algorithm model and potential developments in new research programs. Finally, we conclude with a broad discussion and a working framework for the latest system prospects to make it easier for engineers to better understand the above-mentioned model in terms of building their performance-oriented projects