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| Author | : Lei Deng |
| Publisher | : Frontiers Media SA |
| Total Pages | : 200 |
| Release | : 2021-05-05 |
| Genre | : Science |
| ISBN | : 2889667421 |
| Author | : Ali Iranmanesh |
| Publisher | : Springer Nature |
| Total Pages | : 690 |
| Release | : 2023-01-11 |
| Genre | : Technology & Engineering |
| ISBN | : 3031163443 |
Quality Electronic Design (QED)’s landscape spans a vast region where territories of many participating disciplines and technologies overlap. This book explores the latest trends in several key topics related to quality electronic design, with emphasis on Hardware Security, Cybersecurity, Machine Learning, and application of Artificial Intelligence (AI). The book includes topics in nonvolatile memories (NVM), Internet of Things (IoT), FPGA, and Neural Networks.
| Author | : Uddin, M. Irfan |
| Publisher | : IGI Global |
| Total Pages | : 307 |
| Release | : 2024-02-26 |
| Genre | : Computers |
| ISBN | : |
The applications of rapidly advancing intelligent systems are so varied that many are still yet to be discovered. There is often a disconnect between experts in computer science, artificial intelligence, machine learning, robotics, and other specialties, which inhibits the potential for the expansion of this technology and its many benefits. A resource that encourages interdisciplinary collaboration is needed to bridge the gap between these respected leaders of their own fields. Deep Learning, Reinforcement Learning, and the Rise of Intelligent Systems represents an exploration of the forefront of artificial intelligence, navigating the complexities of this field and its many applications. This guide expertly navigates through the intricate domains of deep learning and reinforcement learning, offering an in-depth journey through foundational principles, advanced methodologies, and cutting-edge algorithms shaping the trajectory of intelligent systems. The book covers an introduction to artificial intelligence and its subfields, foundational aspects of deep learning, a demystification of the architecture of neural networks, the mechanics of backpropagation, and the intricacies of critical elements such as activation and loss functions. The book serves as a valuable educational resource for professionals. Its structured approach makes it an ideal reference for students, researchers, and industry professionals.
| Author | : Doug Alexander |
| Publisher | : Nova Science Publishers |
| Total Pages | : 232 |
| Release | : 2020 |
| Genre | : Neural networks (Computer science) |
| ISBN | : 9781536171884 |
Artificial neural networks, concept, application and types / M. Khishe and Gh. R. Parvizi, Department of Electronic Engineering, Imam Khomeini University of Naval Science, Nowshahr, Iran, and others -- Emotion recognition from facial expressions using artificial neural networks : A review / Sibel Senan, Zeynep Orman and Fulya Akcan, Department of Computer Engineering, Istanbul University-Cerrahpasa, Istanbul, Turkey -- Dipole mode index prediction with artificial neural networks / Kalpesh R. Patil and Masaaki Iiyama, Post-Doctorate Research Scholar, Academic Center for Computing and Media Studies, Kyoto University, Kyoto, Japan, and others.
| Author | : Elakkiya R. |
| Publisher | : John Wiley & Sons |
| Total Pages | : 293 |
| Release | : 2024-04-10 |
| Genre | : Technology & Engineering |
| ISBN | : 1394214049 |
COGNITIVE ANALYTICS AND REINFORCEMENT LEARNING The combination of cognitive analytics and reinforcement learning is a transformational force in the field of modern technological breakthroughs, reshaping the decision-making, problem-solving, and innovation landscape; this book offers an examination of the profound overlap between these two fields and illuminates its significant consequences for business, academia, and research. Cognitive analytics and reinforcement learning are pivotal branches of artificial intelligence. They have garnered increased attention in the research field and industry domain on how humans perceive, interpret, and respond to information. Cognitive science allows us to understand data, mimic human cognitive processes, and make informed decisions to identify patterns and adapt to dynamic situations. The process enhances the capabilities of various applications. Readers will uncover the latest advancements in AI and machine learning, gaining valuable insights into how these technologies are revolutionizing various industries, including transforming healthcare by enabling smarter diagnosis and treatment decisions, enhancing the efficiency of smart cities through dynamic decision control, optimizing debt collection strategies, predicting optimal moves in complex scenarios like chess, and much more. With a focus on bridging the gap between theory and practice, this book serves as an invaluable resource for researchers and industry professionals seeking to leverage cognitive analytics and reinforcement learning to drive innovation and solve complex problems. The book’s real strength lies in bridging the gap between theoretical knowledge and practical implementation. It offers a rich tapestry of use cases and examples. Whether you are a student looking to gain a deeper understanding of these cutting-edge technologies, an AI practitioner seeking innovative solutions for your projects, or an industry leader interested in the strategic applications of AI, this book offers a treasure trove of insights and knowledge to help you navigate the complex and exciting world of cognitive analytics and reinforcement learning. Audience The book caters to a diverse audience that spans academic researchers, AI practitioners, data scientists, industry leaders, tech enthusiasts, and educators who associate with artificial intelligence, data analytics, and cognitive sciences.
| Author | : Toshiyuki Yamane |
| Publisher | : Frontiers Media SA |
| Total Pages | : 163 |
| Release | : 2023-08-02 |
| Genre | : Science |
| ISBN | : 2832531288 |
| Author | : Quinn Spencer |
| Publisher | : Independently Published |
| Total Pages | : 37 |
| Release | : 2018-06-23 |
| Genre | : |
| ISBN | : 9781983255953 |
Would you achieve more if you could envision your success? A neural network is a computing ѕуѕtеm made uр оf a numbеr of ѕimрlе, highlу intеrсоnnесtеd рrосеѕѕing elements, which рrосеѕѕ infоrmаtiоn bу thеir dуnаmiс ѕtаtе response to еxtеrnаl inputs. All of this sounds fancy, but what does it mean for computer intelligence, or for the future? In this book, you will find answers to many practical and theoretical questions related to neural networks, from insights about nodes and hidden layers to error spaces, network analyses, and computing influences. Topics will be discussed, such as: What the definition of neural networks encompasses and what all the elements pertaining to them mean. The main advantages of neural networks and how to leverage and apply them. Limitations to neural networks. How neural networks differ from conventional computing systems. Neural Network applications for medical diagnostics, smart computers, artificial intelligence, and forex or stock trading. Troubleshooting tips for when neural networks stop functioning. If you are even in the least interested in computer technology, artificial intelligence, or what the technological future will bring, you need to read this book and get a better understanding of neural networks and their many applications. This book will bring you to the core of how they function and what you can do with them. Add this book to your cart.
| Author | : Prof. Rocky Scopelliti |
| Publisher | : Austin Macauley Publishers |
| Total Pages | : 250 |
| Release | : 2023-12-08 |
| Genre | : Education |
| ISBN | : 1035836300 |
In an age where Artificial Intelligence (AI) evolves at a breakneck pace, the boundaries of machine capabilities are constantly being redefined. Propelled by advancements in deep learning and related technologies, AI is inching ever closer to mimicking human intellect. But can it achieve consciousness? And if so, at what cost to humanity? This book delves deep into the multi-faceted debate surrounding artificially conscious AI. It untangles ethical quandaries, philosophical dilemmas, technological challenges, political considerations, and the regulatory landscape. By drawing connections between AI research, neuroscience, and cognitive science, the narrative provides a comprehensive understanding of what consciousness might mean in the context of AI. As over a thousand AI luminaries globally sound the alarm, urging a pause on certain AI developments, the book underscores the urgency of its message. Recent incidents have spotlighted AI systems with capabilities so advanced that even their creators grapple to fully grasp or control them. It’s imperative, now more than ever, to critically assess the implications of AI consciousness, weighing its potential risks against its benefits. This book offers both a timely warning and a call to informed action.
| Author | : Yao-Feng Chang |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 180 |
| Release | : 2021-11-17 |
| Genre | : Technology & Engineering |
| ISBN | : 1839689560 |
This book provides a platform for interdisciplinary research into unconventional computing with emerging physical substrates. With a focus on memristor devices, the chapter authors discuss a wide range of topics, including memristor theory, mathematical modelling, circuit theory, memristor-mate, memristor security, artificial intelligence, and much more.
| Author | : Sabina Spiga |
| Publisher | : Woodhead Publishing |
| Total Pages | : 569 |
| Release | : 2020-06-12 |
| Genre | : Technology & Engineering |
| ISBN | : 0081027877 |
Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications—Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. Provides readers an overview of four key concepts in this emerging research topic including materials and device aspects, algorithmic aspects, circuits and architectures and target applications Covers a broad range of applications, including brain-inspired computing, computational memory, deep learning and spiking neural networks Includes perspectives from a wide range of disciplines, including materials science, electrical engineering and computing, providing a unique interdisciplinary look at the field
