Primer to Neuromorphic Computing

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. Discusses potential neuromorphic applications in computingPresents current trends and models in neuromorphic computing and neural network hardware architecturesShows the development of novel devices and hardware to enable neuromorphic computingOffers information about computation and learning principles for neuromorphic systemsProvides information about Neuromorphic implementations of neurobiological learning algorithmsDiscusses biologically inspired neuromorphic systems and devices (including adaptive bio interfacing and hybrid systems consisting of living matter and synthetic matter) INDICE: 1. Review of existing neuromorphic systems2. Integrating neuromorphic components3. Evolution and goals of neuromorphic systems4. Neuromorphic systems vs artificial neural network5. Hardware based on physical properties for neuromorphic computers6. Contrasting neuromorphic system from other systems7. Neuromorphic systems for Autonomous vehicles8. Neuromorphic systems for smart home devices9. Neuromorphic systems for natural language understanding10. Neuromorphic systems for data analytics11. Neuromorphic systems for process optimization12. Neuromorphic systems for real-time image processing13. Technological limitations in building and employing neuromorphic systems14. Analysis on physical, electronic, and technological limitations in building neuromorphic systems

• ISBN: 978-0-443-21480-6
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 370
• Fecha Publicación: 01/11/2024
• Nº Volúmenes: 1
• Idioma: Inglés