A Narrative History Of Artificial Intelligence

DOWNLOAD
Download A Narrative History Of Artificial Intelligence PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Narrative History Of Artificial Intelligence book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
A Narrative History Of Artificial Intelligence
DOWNLOAD
Author : Masayuki Ida
language : en
Publisher: Springer Nature
Release Date : 2024-05-02
A Narrative History Of Artificial Intelligence written by Masayuki Ida and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-02 with Computers categories.
This book addresses the history of artificial intelligence through the author’s experiences from the 1960s, when AI was a dream to give computers far more power than the progress for industrial technological advancement. The book starts from the AI pioneering days including what the author witnessed and impressed, then the episodes during AI boom of the 80s and 90s when the author was involved in ANSI X3J13 committee work as a principal member, translating Common Lisp books into Japanese, leading committee works in Japan for global standardization, and visiting MIT AI Lab for totally three years. The book points out that neural network research started in the 1980s, highlighting the DARPA report dated in 1988. The last episodes and thoughts include the experiences with business school students after the author moved from engineering school. The former half is from a view of an engineering mind and then the latter is based on how the author struggled with business-minded people to explain the core of AI. This book is suitable for anyone interested in the history of Artificial Intelligence. The content is easy to follow, even for readers without prior knowledge of AI. Experts will also find something new and thought-provoking.
Fostering Healthcare Through Artificial Intelligence
DOWNLOAD
Author : Kavita Khare
language : en
Publisher: CRC Press
Release Date : 2025-09-30
Fostering Healthcare Through Artificial Intelligence written by Kavita Khare and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Technology & Engineering categories.
In this book, readers can explore the transformative power of artificial intelligence (AI) in reshaping modern healthcare. The book dives deep into how cutting- edge technologies are revolutionizing diagnostics, patient care, and medical research. From the predictive analytics that anticipate disease outbreaks to intelligent systems that enhance clinical decisionmaking, this book reveals how AI technologies are playing a transformative role in healthcare domain. Designed for healthcare professionals and AI enthusiasts, this book presents real- world applications, ethical considerations, and visionary insights from researchers and industry. The book provides readers a comprehensive understanding of AI’s potential to drive meaningful change. This book: Covers high-performance computing field programmable gate array networks for machine learning-based biomedical applications Presents machine learning algorithms for cancer susceptibility, recurrence, and survival prediction Discusses the use of high-performance computing (HPC) in the execution of low-power processors for healthcare devices Demonstrates detailed performance analysis of wearable healthcare devices Highlights the use of Pix2pix generative adversarial networks for mammographically occult breast cancer detection Whether you're navigating the complexities of digital health transformation or simply curious about AI’s role in medicine, Fostering Healthcare through Artificial Intelligence is your essential guide to understanding how technology can foster a healthier, smarter future for all.
Artificial Intelligence
DOWNLOAD
Author : Dr. V. Deepa
language : en
Publisher: RK Publication
Release Date : 2024-09-27
Artificial Intelligence written by Dr. V. Deepa and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-27 with Computers categories.
" Artificial Intelligence " delves into the transformative world of AI, exploring its foundational theories, practical applications, and ethical implications. Covering core topics like machine learning, neural networks, and natural language processing, the book offers a comprehensive view of AI's potential to reshape industries, enhance decision-making, and drive innovation. With discussions on challenges, advancements, and future trends, this resource serves as an essential guide for students, professionals, and enthusiasts eager to understand and engage with the dynamic field of artificial intelligence.
Handbook On The Ethics Of Artificial Intelligence
DOWNLOAD
Author : David J. Gunkel
language : en
Publisher: Edward Elgar Publishing
Release Date : 2024-07-05
Handbook On The Ethics Of Artificial Intelligence written by David J. Gunkel and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-05 with Computers categories.
This engaging Handbook identifies and critically examines the moral opportunities and challenges typically attributed to artificial intelligence. It provides a comprehensive overview and examination of the most pressing and urgent problems with this technology by drawing on a wide range of analytical methods, traditions, and approaches.
Neurology And Artificial Intelligence
DOWNLOAD
Author : KHRITISH SWARGIARY
language : en
Publisher: ERA,US
Release Date : 2025-04-01
Neurology And Artificial Intelligence written by KHRITISH SWARGIARY and has been published by ERA,US this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-01 with Medical categories.
This book is my invitation to you—to marvel at the brain’s wonders, to embrace AI’s promise, and to join me in this journey. I’ve poured my awe, my hopes, and my concerns into these pages, trusting you to carry them forward. Imagine with me a world where a child with epilepsy lives free of fear, where a stroke patient speaks again within hours, where every mind, no matter where it resides, finds care tailored to its needs. But imagine too the shadows we must face—privacy guarded, biases banished, humanity preserved. This is our frontier, yours and mine. Whether you’re a scientist sketching algorithms, a clinician wielding these tools, a student dreaming of discovery, or simply a soul curious about the mind, you have a place here. Explore relentlessly, question bravely, collaborate fiercely. Let’s build a future where technology and compassion are not rivals but allies, where every neuron’s spark lights a path to healing. With all my gratitude and boundless faith in what we can achieve together, Khritish Swargiary (April, 2025)
The Descent Of Artificial Intelligence
DOWNLOAD
Author : Kevin Padraic Donnelly
language : en
Publisher: University of Pittsburgh Press
Release Date : 2024-07-15
The Descent Of Artificial Intelligence written by Kevin Padraic Donnelly and has been published by University of Pittsburgh Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-15 with Science categories.
The idea that a new technology could challenge human intelligence is as old as the warning from Socrates and Plato that written language eroded memory. With the emergence of generative artificial intelligence programs, we find ourselves once again debating how a new technology might influence human thought and behavior. Researchers, software developers, and “visionary” tech writers even imagine an AI that will equal or surpass human intelligence, adding to a sense of technological determinism where humanity is inexorably shaped by powerful new machines. But among the hundreds of essays, books, and movies that approach the question of AI, few have asked how exactly scientists and philosophers have codified human thought and behavior. Rather than focusing on technical contributions in machine building, The Descent of Artificial Intelligence explores a more diverse cast of thinkers who helped to imagine the very kind of human being that might be challenged by a machine. Kevin Padraic Donnelly argues that what we often think of as the “goal” of AI has in fact been shaped by forgotten and discredited theories about people and human nature as much as it has been by scientific discoveries, mathematical advances, and novel technologies. By looking at the development of artificial intelligence through the lens of social thought, Donnelly deflates the image of artificial intelligence as a technological monolith and reminds readers that we can control the narratives about ourselves.
A History Of Artificially Intelligent Architecture
DOWNLOAD
Author : Danyal Ahmed
language : en
Publisher: Taylor & Francis
Release Date : 2023-10-23
A History Of Artificially Intelligent Architecture written by Danyal Ahmed and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-23 with Architecture categories.
A History of Artificially Intelligent Architecture: Case Studies from the USA, UK, Europe and Japan, 1949-1987 provides a comprehensive survey of architectural projects exhibiting intelligence since the Late First Century right up to the present day. Tracing the social, scientific and technological developments, this book analyses case studies from both conceived and executed architectural projects by Architects and Cyberneticians from the United States, United Kingdom, Europe and Japan from 1949-87. From the Late First Century through to the Seventeenth Century, the scientific endeavors of the Hero of Alexandria, Ramon Llull, Paracelsus, René Descartes, Jacques de Vaucanson, Pierre Jacquet-Droz, and Charles Babbage have been presented in which they attempted to review, analyse and conclude the notion of artificial intelligence. Coming to the Twenty-First Century and witnessing a period, particularly from 1949-87, where nothing had been constant, Architects and Cyberneticians whose architectural projects attempted to simulate intelligence include Cedric Price, Richard Saul Wurman, Nicholas Negroponte, Kenzo Tange, Arata Isozaki, Charles Eames, Ezra D. Ehrenkrantz, Richard Rogers, Renzo Piano, and Gordon Pask respectively. This book asks: How have Polymaths, Architects and Cyberneticians simulated artificial intelligence in their scientific/architectural projects? Is it possible to define intelligence purely based on the history of architecture? Or, on a more extensive level, is it possible to view artificial intelligence originating from the history of architecture instead of computational paradigm? The transdisciplinarity of the book makes it of interest to researchers and students of technologically advanced architecture’s history, theory, and criticism, artificial intelligence, cybernetics, information and communications, urban and sustainable design, ergonomics, computer applications, and digital design and fabrication.
Graph Neural Networks Essentials And Use Cases
DOWNLOAD
Author : Pethuru Raj Chelliah
language : en
Publisher: Springer Nature
Release Date : 2025-07-25
Graph Neural Networks Essentials And Use Cases written by Pethuru Raj Chelliah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Computers categories.
This book explains the technologies and tools that underpin GNNs, offering a clear and practical guide to their industrial applications and use cases. AI engineers, data scientists, and researchers in AI and graph theory will find detailed insights into the latest trends and innovations driving this dynamic field. With practical chapters demonstrating how GNNs are reshaping various industry verticals—and how they complement advances in generative, agentic, and physical AI—this book is an essential resource for understanding and leveraging their potential. The neural network paradigm has surged in popularity for its ability to uncover hidden patterns within vast datasets. This transformative technology has spurred global innovations, particularly through the evolution of deep neural networks (DNNs). Convolutional neural networks (CNNs) have revolutionized computer vision, while recurrent neural networks (RNNs) and their advanced variants have automated natural language processing tasks such as speech recognition, translation, and content generation. Traditional DNNs primarily handle Euclidean data, yet many real-world problems involve non-Euclidean data—complex relationships and interactions naturally represented as graphs. This challenge has driven the rise of graph neural networks (GNNs), an approach that extends deep learning into new domains. GNNs are powerful models designed to work with graph-structured data, where nodes represent individual data points and edges denote the relationships between them. Several variants have emerged: Graph Convolutional Networks (GCNs): These networks learn from a node’s local neighborhood by aggregating information from adjacent nodes, updating the node’s representation in the process. Graph Attentional Networks (GATs): By incorporating attention mechanisms, GATs focus on the most relevant neighbors during aggregation, enhancing model performance. Graph Recurrent Networks (GRNs): These networks combine principles from RNNs with graph structures to capture dynamic relationships within the data. GNNs are applied in a variety of advanced use cases, including node classification, link prediction, graph clustering, anomaly detection, recommendation systems, and also in natural language processing and computer vision. They help forecast traffic patterns, analyze molecular structures, verify programs, predict social influence, model electronic health records, and map brain networks.
Emerging Technologies In Computing
DOWNLOAD
Author : Pramod Kumar
language : en
Publisher: CRC Press
Release Date : 2021-12-20
Emerging Technologies In Computing written by Pramod Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-20 with Computers categories.
Emerging Technologies in Computing: Theory, Practice, and Advances reviews the past, current, and future needs of technologies in the computer science field while it also discusses the emerging importance of appropriate practices, advances, and their impact. It outlines emerging technologies and their principles, challenges, and applications as well as issues involved in the digital age. With the rapid development of technologies, it becomes increasingly important for us to remain up to date on new and emerging technologies. It draws a clear illustration for all those who have a strong interest in emerging computing technologies and their impacts on society. Features: Includes high-quality research work by academicians and industrial experts in the field of computing Offers case studies related to Artificial Intelligence, Blockchain, Internet of Things, Multimedia Big Data, Blockchain, Augmented Reality, Data Science, Robotics, Cybersecurity, 3D Printing, Voice Assistants and Chatbots, and Future Communication Networks Serves as a valuable reference guide for anyone seeking knowledge about where future computing is heading
Ai And Emotions In Digital Society
DOWNLOAD
Author : Scribano, Adrian
language : en
Publisher: IGI Global
Release Date : 2023-12-18
Ai And Emotions In Digital Society written by Scribano, Adrian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-18 with Computers categories.
In the rapidly evolving realm of Artificial Intelligence (AI) and digital technologies, a pressing issue confronts academic scholars and social scientists—the profound consequences of AI adoption within the intricate structures of society. Despite its pervasive influence, this critical topic remains largely unexplored in academic circles, leaving a significant knowledge gap regarding how AI reshapes human interactions, institutions, and the fabric of our digital society. AI and Emotions in Digital Society, edited by Adrian Scribano and Maximiliano E Korstanje, emerges as the timely and compelling solution to bridge this divide. In this transformative book, readers embark on an intellectual journey exploring the intricate interplay between society, technology, and emotions. Drawing together high-quality chapters from diverse disciplines and cultural backgrounds, the book fosters critical discussions that delve into the philosophical quandaries underpinning AI's influence, especially within the context of our ever-changing world. By adopting a balanced perspective that acknowledges both risks and opportunities, the book equips postgraduate students, professionals, policymakers, AI analysts, and social scientists with the tools to comprehend the far-reaching effects of AI on human behavior, institutions, and democratic processes. As readers engage with this thought-provoking content, they gain profound insights into how AI impacts various sectors, including education, travel, literature, politics, and cyber-security. AI and Emotions in Digital Society serves as an indispensable resource for navigating the ongoing AI revolution, inspiring informed decision-making, and fostering critical dialogue. By empowering readers to grasp the complexities of AI's role in a new cosmopolitan capitalism, the book opens possibilities for a future where humanity and technology harmoniously coexist, shaping the course of our digitally interconnected society.