Event-Based Neuromorphic Systems

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Publisher : John Wiley & Sons
ISBN 13 : 0470018496
Total Pages : 440 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Event-Based Neuromorphic Systems by : Shih-Chii Liu

Download or read book Event-Based Neuromorphic Systems written by Shih-Chii Liu and published by John Wiley & Sons. This book was released on 2015-02-16 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neuromorphic Systems Engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 0792381580
Total Pages : 462 pages
Book Rating : 4.7/5 (923 download)

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Book Synopsis Neuromorphic Systems Engineering by : Tor Sverre Lande

Download or read book Neuromorphic Systems Engineering written by Tor Sverre Lande and published by Springer Science & Business Media. This book was released on 1998-04-30 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the first collection of neuromorphic systems descriptions with firm foundations in silicon. Topics presented include: large scale analog systems in silicon neuromorphic silicon auditory (ear) and vision (eye) systems in silicon learning and adaptation in silicon merging biology and technology micropower analog circuit design analog memory analog interchipcommunication on digital buses £/LIST£ Neuromorphic Systems Engineering: Neural Networks in Silicon serves as an excellent resource for scientists, researchers and engineers in this emerging field, and may also be used as a text for advanced courses on the subject.

Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices

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Publisher : Springer
ISBN 13 : 813223703X
Total Pages : 217 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices by : Manan Suri

Download or read book Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices written by Manan Suri and published by Springer. This book was released on 2017-01-21 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all major aspects of cutting-edge research in the field of neuromorphic hardware engineering involving emerging nanoscale devices. Special emphasis is given to leading works in hybrid low-power CMOS-Nanodevice design. The book offers readers a bidirectional (top-down and bottom-up) perspective on designing efficient bio-inspired hardware. At the nanodevice level, it focuses on various flavors of emerging resistive memory (RRAM) technology. At the algorithm level, it addresses optimized implementations of supervised and stochastic learning paradigms such as: spike-time-dependent plasticity (STDP), long-term potentiation (LTP), long-term depression (LTD), extreme learning machines (ELM) and early adoptions of restricted Boltzmann machines (RBM) to name a few. The contributions discuss system-level power/energy/parasitic trade-offs, and complex real-world applications. The book is suited for both advanced researchers and students interested in the field.

Advances in Neuromorphic Memristor Science and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 9400744919
Total Pages : 318 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Advances in Neuromorphic Memristor Science and Applications by : Robert Kozma

Download or read book Advances in Neuromorphic Memristor Science and Applications written by Robert Kozma and published by Springer Science & Business Media. This book was released on 2012-06-28 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future perspectives in neuromorphic memristor science. This book presents a selection of the remarkable contributions given by the leaders of the field and it may serve as inspiration and future reference to all researchers that want to explore the extraordinary possibilities given by this revolutionary concept.

Brain Inspired Cognitive Systems 2008

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Publisher : Springer Science & Business Media
ISBN 13 : 0387791000
Total Pages : 382 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Brain Inspired Cognitive Systems 2008 by : Amir Hussain

Download or read book Brain Inspired Cognitive Systems 2008 written by Amir Hussain and published by Springer Science & Business Media. This book was released on 2009-12-18 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain Inspired Cognitive Systems 2008 (June 24-27, 2008; São Luís, Brazil) brought together leading scientists and engineers who use analytic, syntactic and computational methods both to understand the prodigious processing properties of biological systems and, specifically, of the brain, and to exploit such knowledge to advance computational methods towards ever higher levels of cognitive competence. This book includes the papers presented at four major symposia: Part I - Cognitive Neuroscience Part II - Biologically Inspired Systems Part III - Neural Computation Part IV - Models of Consciousness.

Neuromorphic Devices for Brain-inspired Computing

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Publisher : John Wiley & Sons
ISBN 13 : 3527349790
Total Pages : 258 pages
Book Rating : 4.5/5 (273 download)

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Book Synopsis Neuromorphic Devices for Brain-inspired Computing by : Qing Wan

Download or read book Neuromorphic Devices for Brain-inspired Computing written by Qing Wan and published by John Wiley & Sons. This book was released on 2022-05-16 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Biohybrid Systems

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Publisher : John Wiley & Sons
ISBN 13 : 3527639373
Total Pages : 231 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Biohybrid Systems by : Ranu Jung

Download or read book Biohybrid Systems written by Ranu Jung and published by John Wiley & Sons. This book was released on 2012-09-19 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The discipline of neurodesign is a highly interdisciplinary one, while at the same time in the process of maturing towards real-life applications. The breakthrough about to be achieved is to close the loop in communication between neural systems and electronic and mechatronic systems and actually let the nervous system adapt to the feedback from the man-made systems. To master this loop, scientists need a sound understanding of neurology, from the cellular to the systems scale, of man-made systems and how to connect the two. These scientists comprise medical scientists, neurologists and physiologists, engineers, as well as biophysicists. And they need the topics in a coherently written work with chapters building upon another.

Smart Adaptive Systems on Silicon

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Publisher : Springer Science & Business Media
ISBN 13 : 1402027826
Total Pages : 309 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Smart Adaptive Systems on Silicon by : Maurizio Valle

Download or read book Smart Adaptive Systems on Silicon written by Maurizio Valle and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent/smart systems have become common practice in many engineering applications. On the other hand, current low cost standard CMOS technology (and future foreseeable developments) makes available enormous potentialities. The next breakthrough will be the design and development of "smart adaptive systems on silicon" i.e. very power and highly size efficient complete systems (i.e. sensing, computing and "actuating" actions) with intelligence on board on a single silicon die. Smart adaptive systems on silicon will be able to "adapt" autonomously to the changing environment and will be able to implement "intelligent" behaviour and both perceptual and cognitive tasks. At last, they will communicate through wireless channels, they will be battery supplied or remote powered (via inductive coupling) and they will be ubiquitous in our every day life. Although many books deal with research and engineering topics (i.e. algorithms, technology, implementations, etc.) few of them try to bridge the gap between them and to address the issues related to feasibility, reliability and applications. Smart Adaptive Systems on Silicon, though not exhaustive, tries to fill this gap and to give answers mainly to the feasibility and reliability issues. Smart Adaptive Systems on Silicon mainly focuses on the analog and mixed mode implementation on silicon because this approach is amenable of achieving impressive energy and size efficiency. Moreover, analog systems can be more easily interfaced with sensing and actuating devices.

Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2889760006
Total Pages : 244 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions by : Erika Covi

Download or read book Emerging Technologies and Systems for Biologically Plausible Implementations of Neural Functions written by Erika Covi and published by Frontiers Media SA. This book was released on 2022-04-26 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neuromorphic Photonics

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Author :
Publisher : CRC Press
ISBN 13 : 1498725244
Total Pages : 412 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Neuromorphic Photonics by : Paul R. Prucnal

Download or read book Neuromorphic Photonics written by Paul R. Prucnal and published by CRC Press. This book was released on 2017-05-08 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.

Analog VLSI and Neural Systems

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Author :
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 416 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Analog VLSI and Neural Systems by : Carver Mead

Download or read book Analog VLSI and Neural Systems written by Carver Mead and published by Addison Wesley Publishing Company. This book was released on 1989 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained text, suitable for a broad audience. Presents basic concepts in electronics, transistor physics, and neurobiology for readers without backgrounds in those areas. Annotation copyrighted by Book News, Inc., Portland, OR

Memristors

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Publisher : BoD – Books on Demand
ISBN 13 : 1789840732
Total Pages : 133 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Memristors by : Alex James

Download or read book Memristors written by Alex James and published by BoD – Books on Demand. This book was released on 2020-05-27 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Edited Volume Memristors - Circuits and Applications of Memristor Devices is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of Engineering. The book comprises single chapters authored by various researchers and edited by an expert active in the physical sciences, engineering, and technology research areas. All chapters are complete in itself but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on physical sciences, engineering, and technology,and open new possible research paths for further novel developments.

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

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Author :
Publisher : MDPI
ISBN 13 : 3039285769
Total Pages : 244 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by : Jordi Suñé

Download or read book Memristors for Neuromorphic Circuits and Artificial Intelligence Applications written by Jordi Suñé and published by MDPI. This book was released on 2020-04-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.

Integrated Devices for Artificial Intelligence and VLSI

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Publisher : John Wiley & Sons
ISBN 13 : 1394205139
Total Pages : 388 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Integrated Devices for Artificial Intelligence and VLSI by : Balwinder Raj

Download or read book Integrated Devices for Artificial Intelligence and VLSI written by Balwinder Raj and published by John Wiley & Sons. This book was released on 2024-08-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: With its in-depth exploration of the close connection between microelectronics, AI, and VLSI technology, this book offers valuable insights into the cutting-edge techniques and tools used in VLSI design automation, making it an essential resource for anyone seeking to stay ahead in the rapidly evolving field of VLSI design. Very large-scale integration (VLSI) is the inter-disciplinary science of utilizing advanced semiconductor technology to create various functions of computer system. This book addresses the close link of microelectronics and artificial intelligence (AI). By combining VLSI technology, a very powerful computer architecture confinement is possible. To overcome problems at different design stages, researchers introduced artificial intelligent (AI) techniques in VLSI design automation. AI techniques, such as knowledge-based and expert systems, first try to define the problem and then choose the best solution from the domain of possible solutions. These days, several CAD technologies, such as Synopsys and Mentor Graphics, are specifically created to increase the automation of VLSI design. When a task is completed using the appropriate tool, each stage of the task design produces outcomes that are more productive than typical. However, combining all of these tools into a single package offer has drawbacks. We can’t really use every outlook without sacrificing the efficiency and usefulness of our output. The researchers decided to include AI approaches into VLSI design automation in order to get around these obstacles. AI is one of the fastest growing tools in the world of technology and innovation that helps to make computers more reliable and easy to use. Artificial Intelligence in VLSI design has provided high-end and more feasible solutions to the difficulties faced by the VLSI industry. Physical design, RTL design, STA, etc. are some of the most in-demand courses to enter the VLSI industry. These courses help develop a better understanding of the many tools like Synopsis. With each new dawn, artificial intelligence in VLSI design is continually evolving, and new opportunities are being investigated.

Computational Techniques in Neuroscience

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Author :
Publisher : CRC Press
ISBN 13 : 100099421X
Total Pages : 186 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Computational Techniques in Neuroscience by : Kamal Malik

Download or read book Computational Techniques in Neuroscience written by Kamal Malik and published by CRC Press. This book was released on 2023-11-14 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text discusses the techniques of deep learning and machine learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It showcases case studies in neural data analysis. Features: Focuses on neuron modeling, development, and direction of neural circuits to explain perception, behavior, and biologically inspired intelligent agents for decision making Showcases important aspects such as human behavior prediction using smart technologies and understanding the modeling of nervous systems Discusses nature-inspired algorithms such as swarm intelligence, ant colony optimization, and multi-agent systems Presents information-theoretic, control-theoretic, and decision-theoretic approaches in neuroscience. Includes case studies in functional magnetic resonance imaging (fMRI) and neural data analysis This reference text addresses different applications of computational neuro-sciences using artificial intelligence, deep learning, and other machine learning techniques to fine-tune the models, thereby solving the real-life problems prominently. It will further discuss important topics such as neural rehabili-tation, brain-computer interfacing, neural control, neural system analysis, and neurobiologically inspired self-monitoring systems. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, information technology, and biomedical engineering.

Mobile and Wireless Technology 2018

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Publisher : Springer
ISBN 13 : 9811310599
Total Pages : 459 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Mobile and Wireless Technology 2018 by : Kuinam J. Kim

Download or read book Mobile and Wireless Technology 2018 written by Kuinam J. Kim and published by Springer. This book was released on 2018-07-23 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents peer-reviewed contributions from the 5th International Conference on Mobile and Wireless Technology (ICMWT 2018), held June 25-27, 2018 in Hong Kong. This conference provided researchers and practitioners from both academia and industry with a platform to keep them abreast of cutting-edge developments in the field. The book includes papers on mobile and wireless networks and their applications, the increasingly important security issues relating to mobile and wireless systems, data management, as well as the latest developments in mobile software development, and multimedia and wireless communications.

A Practitioner's Approach to Problem-Solving using AI

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Author :
Publisher : Bentham Science Publishers
ISBN 13 : 9815305379
Total Pages : 303 pages
Book Rating : 4.8/5 (153 download)

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Book Synopsis A Practitioner's Approach to Problem-Solving using AI by : Satvik Vats

Download or read book A Practitioner's Approach to Problem-Solving using AI written by Satvik Vats and published by Bentham Science Publishers. This book was released on 2024-10-18 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book demonstrates several use cases of how artificial intelligence (AI) and machine learning (ML) are revolutionizing problem-solving across various industries. The book presents 18 edited chapters beginning with the latest advancements in human-AI interactions and neuromorphic computing, setting the stage for practical applications. Chapters focus on AI and ML applications such as fingerprint recognition, glaucoma detection, and lung cancer identification using image processing. The book also explores the role of AI in professional operations such as UX design, event detection, and content analysis. Additionally, the book includes content that examines AI's impact on technical operations wireless communication, VLSI systems, and advanced manufacturing processes. Each chapter contains summaries and references for addressing the needs of beginner and advanced readers. This comprehensive guide is an essential resource for anyone seeking to understand AI's transformative role in modern problem-solving in professional industries.