Bio-Inspired Computing-A Dive into Critical Problems, Potential Architecture and Techniques

• DOI: 10.48048/tis.2021.703
• Publication Date: 2021-11-21T01:52:07Z
• Authors: Ajay Sudhir Bale; Subhashish Tiwari; Aditya Khatokar; Vinay N; Kiran Mohan M S
• Keywords: Neuromorphic engineering

The integration and development of electronics in the recent years have impacted a major on world humans, one among that is nanotechnology. Nanotechnology has achieved greater progress biomedical engineering diagnosis treatment, leading to introduction nanomaterials for drug delivery, prostheses implanting. This work describes Bio-Nano-tools are developed based iron oxide properties, automated tools used tumor detection, satin bowerbird optimization (SBO) technique employed skin cancer. also highlights post like combination nanotechnology with Artificial Intelligence (AI) its impact, advancement their operations, shapes characteristics growth nanostructures operations control properties. paper improvement silicon neuromorphic photonic processors parallel simulators bio inspired computing. We hopeful this review article provides future directions Bio-Inspired Computing.
 HIGHLIGHTS
 
 In processing medical images, noise plays challenging role. So, reduction important, data analyzed our review, it shown can be using Gradient Feature Adaptive Contour (GFAC) model, effective results
 There many algorithms cancer as highlighted review. Amongst all methods, particle swarm (PSO) algorithm shows impressive results when compared other models terms feature extraction dermoscopy images
 Satin helps improving CNN efficiency. optimal justification hyper parameter numbers convolutional neural network (CNN) an SBO algorithm