Spiking Neural Network Learning, Benchmarking, Programming and Executing
Author | : Guoqi Li |
Publisher | : Frontiers Media SA |
Total Pages | : 234 |
Release | : 2020-06-05 |
Genre | : |
ISBN | : 2889637670 |
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Author | : Guoqi Li |
Publisher | : Frontiers Media SA |
Total Pages | : 234 |
Release | : 2020-06-05 |
Genre | : |
ISBN | : 2889637670 |
Author | : Endre Pap |
Publisher | : Springer Nature |
Total Pages | : 353 |
Release | : 2021-07-15 |
Genre | : Technology & Engineering |
ISBN | : 3030727114 |
This book is an up-to-date collection, in AI and environmental research, related to the project ATLAS. AI is used for gaining an understanding of complex research phenomena in the environmental sciences, encompassing heterogeneous, noisy, inaccurate, uncertain, diverse spatio-temporal data and processes. The first part of the book covers new mathematics in the field of AI: aggregation functions with special classes such as triangular norms and copulas, pseudo-analysis, and the introduction to fuzzy systems and decision making. Generalizations of the Choquet integral with applications in decision making as CPT are presented. The second part of the book is devoted to AI in the geo-referenced air pollutants and meteorological data, image processing, machine learning, neural networks, swarm intelligence, robotics, mental well-being and data entry errors. The book is intended for researchers in AI and experts in environmental sciences as well as for Ph.D. students.
Author | : Felix Schürmann |
Publisher | : Frontiers Media SA |
Total Pages | : 431 |
Release | : 2023-04-26 |
Genre | : Science |
ISBN | : 2832521657 |
Author | : Vivienne Sze |
Publisher | : Springer Nature |
Total Pages | : 254 |
Release | : 2022-05-31 |
Genre | : Technology & Engineering |
ISBN | : 3031017668 |
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.
Author | : Wulfram Gerstner |
Publisher | : Cambridge University Press |
Total Pages | : 498 |
Release | : 2002-08-15 |
Genre | : Computers |
ISBN | : 9780521890793 |
Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed.
Author | : Lei Deng |
Publisher | : Frontiers Media SA |
Total Pages | : 200 |
Release | : 2021-05-05 |
Genre | : Science |
ISBN | : 2889667421 |
Author | : Steve Furber |
Publisher | : NowOpen |
Total Pages | : 352 |
Release | : 2020-03-15 |
Genre | : |
ISBN | : 9781680836523 |
This books tells the story of the origins of the world's largest neuromorphic computing platform, its development and its deployment, and the immense software development effort that has gone into making it openly available and accessible to researchers and students the world over
Author | : Shih-Chii Liu |
Publisher | : John Wiley & Sons |
Total Pages | : 440 |
Release | : 2015-02-16 |
Genre | : Technology & Engineering |
ISBN | : 0470018496 |
Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable capabilities. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems. Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence. This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems. Key features: Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering. Presents examples of practical applications of neuromorphic design principles. Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges.
Author | : Amos R. Omondi |
Publisher | : Springer Science & Business Media |
Total Pages | : 365 |
Release | : 2006-10-04 |
Genre | : Technology & Engineering |
ISBN | : 0387284877 |
During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.
Author | : Chris Eliasmith |
Publisher | : MIT Press |
Total Pages | : 384 |
Release | : 2003 |
Genre | : Computers |
ISBN | : 9780262550604 |
A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.