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Full Description
Primer to Neuromorphic Computing highlights critical and ongoing research into the diverse applications of neuromorphic computing. It includes an overview of primary scientific concepts for the research topic of neuromorphic computing, such as neurons as computational units, artificial intelligence, machine learning, and neuromorphic models. It also discusses the fundamental design method and organization of neuromorphic architecture.
Hardware for neuromorphic systems can be developed by exploiting the magnetic properties of different materials. These systems are more energy efficient and enable faster computation . Magnetic tunnel junctions and magnetic textures can be employed to act as neurons and synapses. Neuromorphic systems have general intelligence like humans as they can apply knowledge gained in one domain to other domains.
Contents
1. Neuromorphic Computing for Machine Learning: An Overview
2. Designing of GAN for real time image processing in neurocomputing
3. Review of Existing Neuromorphic Systems
4. Neuromorphic System for Cardiovascular Disorders
5. Neuromorphic System for Real-time Healthcare Applications
6. Neuromorphic Systems for Smart home Devices
7. Neuromorphic systems for real-time image processing
8. Real time Visual Data Processing using Neuromorphic Systems
9. Future Prospective of Neuromorphic Computing in Artificial Intelligence: A Review, Methods and Challenges
10. Neuromorphic Systems for Smart home Devices
11. Neuroscience-inspired - Facial Mask Recognition using MobileNet and Computer Vision in real-time video streaming
12. A Neuro-Inspired Journey: Tracing the Evolution and Objectives of Neuromorphic Systems
13. Deploying Shark Smell Optimization algorithm with Neuromorphic computing principles for prediction of COVID-19 disease
