Tag: Neuromorphic

Revolutionizing Civil Engineering with Neuromorphic Computing


Free Download Revolutionizing Civil Engineering with Neuromorphic Computing: Pathways to Smart and Sustainable Infrastructure by Ali Akbar Firoozi , Ali Asghar Firoozi
English | PDF EPUB (True) | 2024 | 105 Pages | ISBN : 3031710967 | 7.7 MB
This book delves into the transformative potential of neuromorphic computing within the realm of civil engineering, emphasizing its role in advancing smart infrastructure systems. Neuromorphic computing, inspired by the neural structures of the human brain, offers unparalleled efficiencies in processing complex, dynamic data sets, thereby facilitating real time decision-making and predictive analytics in infrastructure management. Through a comprehensive exploration of emerging circuits, memory technologies, intelligent learning algorithms, and application-driven systems, it illustrates how neuromorphic computing can significantly enhance the resilience, efficiency, and sustainability of urban infrastructure. The book further addresses the challenges, ethical considerations, and future directions associated with the integration of these advanced technologies into civil engineering projects. Through detailed case studies, it provides insights into successful implementation strategies, risk management, and contingency planning, underscoring the importance of ethical design and development. This book serves as a valuable resource for practitioners, researchers, and policymakers involved in the evolution of civil engineering toward smarter, more responsive, and sustainable urban environments.

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Revolutionizing Civil Engineering with Neuromorphic Computing


Free Download Revolutionizing Civil Engineering with Neuromorphic Computing: Pathways to Smart and Sustainable Infrastructure by Ali Akbar Firoozi , Ali Asghar Firoozi
English | PDF EPUB (True) | 2024 | 105 Pages | ISBN : 3031710967 | 7.7 MB
This book delves into the transformative potential of neuromorphic computing within the realm of civil engineering, emphasizing its role in advancing smart infrastructure systems. Neuromorphic computing, inspired by the neural structures of the human brain, offers unparalleled efficiencies in processing complex, dynamic data sets, thereby facilitating real time decision-making and predictive analytics in infrastructure management. Through a comprehensive exploration of emerging circuits, memory technologies, intelligent learning algorithms, and application-driven systems, it illustrates how neuromorphic computing can significantly enhance the resilience, efficiency, and sustainability of urban infrastructure. The book further addresses the challenges, ethical considerations, and future directions associated with the integration of these advanced technologies into civil engineering projects. Through detailed case studies, it provides insights into successful implementation strategies, risk management, and contingency planning, underscoring the importance of ethical design and development. This book serves as a valuable resource for practitioners, researchers, and policymakers involved in the evolution of civil engineering toward smarter, more responsive, and sustainable urban environments.

(more…)

Neuromorphic Computing Systems for Industry 4.0


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.

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