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Neuromorphic Computing Systems for Industry 4.0 (en Inglés)
Dhanasekar, S. ; Sagayam, K. Martin ; Vijh, Surbhi (Autor)
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Engineering Science Reference (an Imprint of
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Neuromorphic Computing Systems for Industry 4.0 (en Inglés) - Dhanasekar, S. ; Sagayam, K. Martin ; Vijh, Surbhi
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Origen: Estados Unidos
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Reseña del libro "Neuromorphic Computing Systems for Industry 4.0 (en Inglés)"
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.
