03595nam a22006015i 4500 978-981-97-4445-9 DE-He213 20251030112633.0 cr nn 008mamaa 240716s2024 si | s |||| 0|eng d 9789819744459 978-981-97-4445-9 10.1007/978-981-97-4445-9 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Bhowmik, Debanjan. author. aut http://id.loc.gov/vocabulary/relators/aut 80737 Spintronics-Based Neuromorphic Computing [electronic resource] / by Debanjan Bhowmik. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XV, 126 p. 64 illus., 56 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer Tracts in Electrical and Electronics Engineering, 2731-4219 Why Spintronics-Based Neuromorphic Computing? -- Introduction to Nanomagnetism and Spintronics -- Introduction to Computing -- Introduction to Neural Networks -- Ferromagnetic Domain-Wall Devices as Synapses and Neurons -- Design of Non-Spiking Neural Networks with Domain-Wall Devices -- Design of Spiking Neural Networks with Domain-Wall Devices -- Spintronic Oscillators and Their Synchronization Properties -- Neuromorphic Computing using Spintronic Oscillators -- Neural Networks and Probabilistic Computing Through Stochastic Magnetic Switching. The book discusses almost all aspects of spintronics-based neuromorphic computing, starting from a very basic level, and will be of interest to both spintronics and neuromorphic computing communities. The chapters also cover most simulation and experimental studies reported recently by various researchers across the world on this topic. The book includes an introductory chapter on nanomagnetism and spin physics and another one on neural network algorithms (covering both the machine-learning and neuroscience aspects of these algorithms). These introductory chapters will help the readers build their background and truly appreciate the recent research results on spintronics-based neuromorphic computing, presented in the later chapters of the book. Various numerical simulation exercises are also provided in the book. Artificial intelligence. 58441 Control engineering. Robotics. 59148 Automation. 59149 Spintronics. 80738 Neural networks (Computer science) . 64231 Artificial Intelligence. 58441 Control, Robotics, Automation. Spintronics. 80738 Mathematical Models of Cognitive Processes and Neural Networks. 65860 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819744442 Printed edition: 9789819744466 Printed edition: 9789819744473 Springer Tracts in Electrical and Electronics Engineering, 2731-4219 66106 https://doi.org/10.1007/978-981-97-4445-9 ZDB-2-SCS ZDB-2-SXCS 61674 61674