Neuromorphic Engineering Editors Pick 2021
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Author |
: André van Schaik |
Publisher |
: Frontiers Media SA |
Total Pages |
: 177 |
Release |
: 2021-08-10 |
ISBN-10 |
: 9782889711611 |
ISBN-13 |
: 2889711617 |
Rating |
: 4/5 (11 Downloads) |
Synopsis Neuromorphic Engineering Editors’ Pick 2021 by : André van Schaik
Author |
: Laura Ballerini |
Publisher |
: Frontiers Media SA |
Total Pages |
: 135 |
Release |
: 2021-07-28 |
ISBN-10 |
: 9782889711031 |
ISBN-13 |
: 288971103X |
Rating |
: 4/5 (31 Downloads) |
Synopsis Neural Technology Editors' Pick 2021 by : Laura Ballerini
Author |
: Manish Kumar Bajpai |
Publisher |
: Springer Nature |
Total Pages |
: 681 |
Release |
: 2021-11-10 |
ISBN-10 |
: 9789811650789 |
ISBN-13 |
: 9811650780 |
Rating |
: 4/5 (89 Downloads) |
Synopsis Machine Vision and Augmented Intelligence—Theory and Applications by : Manish Kumar Bajpai
This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
Author |
: Lei Deng |
Publisher |
: Frontiers Media SA |
Total Pages |
: 200 |
Release |
: 2021-05-05 |
ISBN-10 |
: 9782889667420 |
ISBN-13 |
: 2889667421 |
Rating |
: 4/5 (20 Downloads) |
Synopsis Understanding and Bridging the Gap between Neuromorphic Computing and Machine Learning by : Lei Deng
Author |
: Khaled Salah Mohamed |
Publisher |
: Springer Nature |
Total Pages |
: 241 |
Release |
: 2020-01-25 |
ISBN-10 |
: 9783030372248 |
ISBN-13 |
: 3030372243 |
Rating |
: 4/5 (48 Downloads) |
Synopsis Neuromorphic Computing and Beyond by : Khaled Salah Mohamed
This book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms.
Author |
: V. H. Saran |
Publisher |
: Springer Nature |
Total Pages |
: 893 |
Release |
: 2021-01-23 |
ISBN-10 |
: 9789811580253 |
ISBN-13 |
: 9811580251 |
Rating |
: 4/5 (53 Downloads) |
Synopsis Advances in Systems Engineering by : V. H. Saran
This book comprises select proceedings of the 43rd National Systems Conference on Innovative and Emerging Trends in Engineering Systems (NSC 2019) held at the Indian Institute of Technology, Roorkee, India. The contents cover latest research in the highly multidisciplinary field of systems engineering, and discusses its various aspects like systems design, dynamics, analysis, modeling and simulation. Some of the topics covered include computing systems, consciousness systems, electrical systems, energy systems, manufacturing systems, mechanical systems, literary systems, social systems, and quantum and nano systems. Given the scope of the contents, this book will be useful for researchers and professionals from diverse engineering and management background.
Author |
: Qing Wan |
Publisher |
: John Wiley & Sons |
Total Pages |
: 258 |
Release |
: 2022-05-16 |
ISBN-10 |
: 9783527349791 |
ISBN-13 |
: 3527349790 |
Rating |
: 4/5 (91 Downloads) |
Synopsis Neuromorphic Devices for Brain-inspired Computing by : Qing Wan
Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence 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. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.
Author |
: Jeffrey L. Krichmar |
Publisher |
: Cambridge University Press |
Total Pages |
: 377 |
Release |
: 2011-09-01 |
ISBN-10 |
: 9781139498579 |
ISBN-13 |
: 1139498576 |
Rating |
: 4/5 (79 Downloads) |
Synopsis Neuromorphic and Brain-Based Robots by : Jeffrey L. Krichmar
Neuromorphic and brain-based robotics have enormous potential for furthering our understanding of the brain. By embodying models of the brain on robotic platforms, researchers can investigate the roots of biological intelligence and work towards the development of truly intelligent machines. This book provides a broad introduction to this groundbreaking area for researchers from a wide range of fields, from engineering to neuroscience. Case studies explore how robots are being used in current research, including a whisker system that allows a robot to sense its environment and neurally inspired navigation systems that show impressive mapping results. Looking to the future, several chapters consider the development of cognitive, or even conscious robots that display the adaptability and intelligence of biological organisms. Finally, the ethical implications of intelligent robots are explored, from morality and Asimov's three laws to the question of whether robots have rights.
Author |
: Mark Tehranipoor |
Publisher |
: Springer Nature |
Total Pages |
: 602 |
Release |
: 2021-04-30 |
ISBN-10 |
: 9783030644482 |
ISBN-13 |
: 3030644480 |
Rating |
: 4/5 (82 Downloads) |
Synopsis Emerging Topics in Hardware Security by : Mark Tehranipoor
This book provides an overview of emerging topics in the field of hardware security, such as artificial intelligence and quantum computing, and highlights how these technologies can be leveraged to secure hardware and assure electronics supply chains. The authors are experts in emerging technologies, traditional hardware design, and hardware security and trust. Readers will gain a comprehensive understanding of hardware security problems and how to overcome them through an efficient combination of conventional approaches and emerging technologies, enabling them to design secure, reliable, and trustworthy hardware.
Author |
: Akash Kumar Bhoi |
Publisher |
: Springer Nature |
Total Pages |
: 427 |
Release |
: 2020-07-21 |
ISBN-10 |
: 9789811554957 |
ISBN-13 |
: 9811554951 |
Rating |
: 4/5 (57 Downloads) |
Synopsis Bio-inspired Neurocomputing by : Akash Kumar Bhoi
This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.