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 Free Download Neuromorphic Computing Systems for Industry 4.0 by S Dhanasekar, K Martin Sagayam, Surbhi Vijh English | an Imprint of Igi Global | ISBN: 1668465965 | 377 pages | MOBI | 11 Mb As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform AI functions such as computer vision and voice recognition. Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by significantly reducing power with its analog memory technology, the memBrain Memory Solution. The memBrain solution is being adopted by today's companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory computer solution is ideal for an AI application. Neuromorphic Computing Systems for Industry 4.0 covers the available literature in the field of neural computing-based microchip technology. It provides further research opportunities in this dynamic field. Covering topics such as emotion recognition, biometric authentication, and neural network protection, this premier reference source is an essential resource for technology developers, computer scientists, engineers, students and educators of higher education, librarians, researchers, and academicians.  Free Download Neuromorphic Computing Systems for Industry 4.0 by Dhanasekar S. English | 2023 | ISBN: 1668465965 | 400 pages | True PDF EPUB | 53.88 MB As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform AI functions such as computer vision and voice recognition. Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by significantly reducing power with its analog memory technology, the memBrain Memory Solution. The memBrain solution is being adopted by today's companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory computer solution is ideal for an AI application.  Free Download Place Coding in Analog VLSI: A Neuromorphic Approach to Computation by Oliver Landolt English | PDF | 1998 | 218 Pages | ISBN : 0792381947 | 17.6 MB Neurobiology research suggests that information can be represented by the location of an activity spot in a population of cells (`place coding'), and that this information can be processed by means of networks of interconnections. Place Coding in Analog VLSI defines a representation convention of similar flavor intended for analog-integrated circuit design. It investigates its properties and suggests ways to build circuits on the basis of this coding scheme.  Neuromorphic Devices for Brain-inspired Computing: Artificial Intelligence, Perception, and Robotics English | 2022 | ISBN: 3527349790 | 245 Pages | EPUB (True) | 50 MB In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications.
 English | 2021 | ISBN: 3527349790 | 259 pages | True PDF | 8.92 MB Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence
 Neuromorphic Engineering; The Scientist's, Algorithm Designer's, and Computer Architect's Perspectives on Brain-Inspired Computing by Elishai Ezra Tsur English | 2021 | ISBN: 036767680X | 330 pages | True PDF | 78.74 MB |
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