Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters.

Combining clear labelled imagery with easy-to-understand text, this new edition of Simply Artificial Intelligence is the perfect introduction to the latest developments in AI, including ChatGPT and the Internet of Things.

Covering a broad range of fields within AI - from computing and mathematics to politics and philosophy - entries demystify what artificial intelligence is and how it works, how it has dramatically changed how we live, and how it might evolve in the future. Everyone is talking about AI, but this book helps to explain each individual aspect of AI more clearly than ever before.

Artificial intelligence is something that we have yet to understand fully. Explore the beginnings of this life-changing invention. Explore how technology has evolved and how our understanding of AI has developed. Whether you are interested in AI’s advances or are new to the topic, you can find a range of information and facts in this Simply edition.

This AI book:

-Outlines the key building blocks and technological milestones in its history, profiles its most important practical applications - both current and predicted

-Explores the ethical debates around AI and its increasing influence on culture and society.

-Provides an accessible, reader-friendly guide with detailed imagery and annotated illustrations, expert insights and jargon-free text

-Studies and experiments such as The Turing Test and The Chinese Room experiment

This book is part of the Simply Series, which includes books such as Simply Astronomy, Simply Psychology, Simply Maths, and more. Whether you are studying science or AI-related subjects at school or college or simply want a jargon-free overview of this increasingly important subject, this essential guide is packed with everything you need to understand the basics quickly and easily.

A smart, incisive take-down of the bogus claims being made about so-called ‘artificial intelligence’, exposing the real harm these technologies do to our jobs, health, society and environment, who stands to gain from them, and how to fight back.

Is AI going to take over the world? Have scientists created an artificial lifeform that can think on its own? Is it going to replace all our jobs, even creative ones, like doctors, teachers and care-workers? Are we about to enter an age where computers are better than humans at everything?

The answers to these questions, as the expert authors of The AI Con make clear, are 'no', 'they wish', 'LOL', and 'definitely not'. In fact, these fears are all symptoms of the hype being used by tech corporations to justify data theft, motivate surveillance capitalism, and devalue human creativity so they can replace meaningful work with jobs that treat people like machines. Meanwhile, across healthcare, education, media, government and law-enforcement, ‘AI’ products are already being introduced that are unreliable, ineffective, unjust and dangerous.

Packed with real-world examples, pithy arguments and expert insights, The AI Con arms you to spot AI hype in all its guises, expose the exploitation and power-grabs it aims to hide, and push back against it at work and in your daily life.

An eye-opening account of the tech arms race shaping out planet, from an award-winning journalist and AI insider to the world of Sam Altman and OpenAI

When longtime AI expert and journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, it was meant, its leader Sam Altman told us, to act as a check against more purely market forces.

But the core truth of this massively disruptive sector is that it requires an unprecedented amount of proprietary resources: the ‘compute’ power of scarce high-end chips, the sheer volume of data that needs to be amassed at scale, the humans on the ground ‘cleaning it up’ for sweatshop wages throughout the Global South, and a truly alarming spike in the need for energy and water underlying everything. We have entered a new, ominous age of empire with OpenAI setting a breakneck pace, as a small group of the most valuable companies in human history try to chase it down.

In exhilarating prose and with unparalleled access to those closest to Sam Altman, Hao recounts the meteoric rise of OpenAI and shows us the sinister impact that this industry is having on society.

A deeply reported business history of the chip-designer Nvidia—from its founding in 1993 to its recent emergence as one of the most valuable corporations in the world—explaining how the company’s culture, overseen by co-founder and CEO Jensen Huang, has powered its incredible success

Nvidia is the darling of the age of artificial intelligence: its chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a diner in California, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.

In The Nvidia Way, acclaimed tech writer Tae Kim draws on more than one hundred interviews—including Jensen (as he is known) and his co-founders, the two original venture capital investors, early former employees and current senior executives—to show how Nvidia played the longest of long games, repeatedly creating new markets and out-manoeuvring competitors, including the original semiconductor giant, Intel, which now finds itself well behind the upstart. Kim offers revelations at every step, among them:

—An authoritative, myth-busting account of Nvidia’s founding in 1993

—How Nvidia managed to overcome early missteps that would have killed most start-ups

—The benefits of Nvidia’s flat organisational structure, which allows even low-level employees to contribute to the direction of the company

—How Jensen’s obsession with solving the Innovator’s Dilemma—the problem of an entrenched market leader falling to smaller, nimbler companies—drove him to reinvent his approach to corporate strategy

—How Nvidia saw the coming AI wave sooner than anyone else, and how it bet its future on a technology that had not yet arrived

A rare view into Nvidia's distinct culture and Jensen's management principles, The Nvidia Way is a book for our moment as well as an instant classic of business history, with enduring lessons for entrepreneurs and managers alike.

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing techniques applied in genomics; the second section discusses translational opportunities, such as in radiogenomics and autosegmentation; and the final section encompasses current clinical applications in clinical decision making, how to integrate AI into workflow, use cases, and cross-collaborations with industry. The book is a valuable resource for oncologists, radiologists and several members of biomedical field who need to learn more about machine learning as a support for radiation oncology.

In today's digital society, organizations must utilize technology in order to engage their audiences. Innovative game-like experiences are an increasingly popular way for businesses to interact with their customers; however, correctly implementing this technology can be a difficult task. To ensure businesses have the appropriate information available to successfully utilize gamification in their daily activities, further study on the best practices and strategies for implementation is required. The Handbook of Research on Gamification Dynamics and User Experience Design considers the importance of gamification in the context of organizations' improvements and seeks to investigate game design from the experience of the user by providing relevant academic work, empirical research findings, and an overview of the field of study. Covering topics such as digital ecosystems, distance learning, and security awareness, this major reference work is ideal for policymakers, technology developers, managers, government officials, researchers, scholars, academicians, practitioners, instructors, and students.

In this timely collection, gender, sex, and technology are explored through an intersectional and interdisciplinary lens. Gender, Sex, and Tech! provides insight into the ways that technology affects, and is affected by, cultural perceptions of gender and sex. Through an examination of a range of past and present issues, the text highlights our relationships to technology and illustrates how gendered relations are shaped and transformed through social and technological innovations.Contributors bring to the fore feminist, decolonizing, and anti-racist methods to examine our everyday uses of technology, from the mundane to the surreal to the playful to the devastating. Original research and scholarship is skillfully grounded in real-world scenarios like revenge pornography, gender bias in artificial intelligence, menstrual tracking, online dating, and the COVID-19 pandemic, inviting students to take a closer look at technological transformations and their impact on gendered lived experience and to consider how the benefits of technology are inequitably shared within society. Centring Canadian scholars and Canadian perspectives without losing sight of the broader global connection, Gender, Sex, and Tech! is bursting with timely and of-the-moment content, making this collection a must-read for courses focused on gender and technology.

Stunning advances in digital technology have given us a new wave of disarmingly human-like AI systems. Chatbots like ChatGPT, Claude and Gemini put the knowledge of all the world’s experts at our fingertips, and can generate meaningful sentences, equations and computer code. The march of this new technology is set to upturn our economies, challenge our democracies, and refashion society in unpredictable ways. We can expect these AI systems to soon be making autonomous decisions on the user’s behalf, with transformative impact on everything we do. It is vital we understand how they work. Can AI systems ‘think’, ‘know’ and ‘understand’? Could they manipulate or deceive you, and if so, what might they make you do? Whose interests do they ultimately represent? And when will they be able to move beyond words and take actions for themselves in the real world?

To answer these questions, neuroscientist and AI researcher Christopher Summerfield explains how these strange new minds work. He charts the evolution of AI, from the earliest inklings about thinking machines in the seventeenth century to today’s gargantuan deep neural networks. The resulting book is the most accessible, up-to-date and authoritative exploration of this radical new technology. Ultimately, armed with an understanding of AI’s mysterious inner workings, we can begin to grapple with the existential question of our age: can we look forward to a technological utopia, or are we in the process of writing ourselves out of history?

In recent decades, there has been an increasing interest in using machine learning and, in the last few years, deep learning methods combined with other vision and image processing techniques to create systems that solve vision problems in different fields. There is a need for academicians, developers, and industry-related researchers to present, share, and explore traditional and new areas of computer vision, machine learning, deep learning, and their combinations to solve problems. Computer Vision and Image Processing in the Deep Learning Era is designed to serve researchers and developers by sharing original, innovative, and state-of-the-art algorithms and architectures for applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, and more. It integrates the knowledge of the growing international community of researchers working on the application of machine learning and deep learning methods in vision and robotics. Covering topics such as brain tumor detection, heart disease prediction, and medical image detection, this premier reference source is an exceptional resource for medical professionals, faculty and students of higher education, business leaders and managers, librarians, government officials, researchers, and academicians.

Today’s tech platforms are some of history's most advanced tools for extracting as much as possible – data, attention, profit-margins – from everyone else. As they become essential, we are at risk of building an economy that is perpetually unfair for much of humanity.

Places and spaces where people can exchange information and goods have been at the heart of every economy and every civilization in history, but today’s global platforms - as provided by Amazon, Google, Apple, Meta and others - are different: instead of providing value they extract it, creating vast disparities in wealth and power between the haves and have-nots. For the first time in history, we have the ability to create sustainable prosperity for all, but currently that wealth is concentrated in a tiny number of hands. It isn't abundance that's the problem; it is distribution.

In this brilliantly engaging, frequently surprising account, Tim Wu, one of the world’s foremost experts on anti-monopoly law, draws on fascinating case studies in the history of technology's explosive rise to demonstrate emphatically that breaking monopolies will ultimately unleash creativity and growth - and reduce the vast inequality that inevitably leads to social upheaval and political chaos. Wu also sets out an alternative blueprint that preserves the economic flourishing that platforms catalyze, allowing tech platforms to play a major role in creating and sustaining an economic model of prosperity not just for the few but for the many.

Including the latest Microsoft 365 features and enhanced support for Mac users, Cengage's Technology for Success and Illustrated Series® Collection, Microsoft® 365® & Office® 2021, 1st edition, helps you quickly master the nuances of Microsoft® Office. Its concise, student-friendly approach uses a proven two-page layout that allows you to work through an entire task without turning the page. Each module begins with a brief overview of the principles covered while large, full-color screen images illustrate what you see on your computer. Module Learning Objectives are mapped to Microsoft Office Specialist (MOS) certification objectives, and module scenarios are based on Burning Glass market insights data -- helping you sharpen the critical skills you need for real-world success. In addition, MindTap and SAM (Skills Assessment Manager) online resources help maximize your study time -- and results.

As the videogame industry has grown up, the need for better stories and characters has dramatically increased, yet traditional screenwriting techniques alone cannot equip writers for the unique challenges of writing stories where the actions and decisions of a diverse range of players are at the centre of every narrative experience. Game Writing: Narrative Skills for Videogames was the first book to demystify the emerging field of game writing by identifying and explaining the skills required for creating videogame narrative. Through the insights and experiences of professional game writers, this revised edition captures a snapshot of the narrative skills employed in today's game industry and presents them as practical articles accompanied by exercises for developing the skills discussed. The book carefully explains the foundations of the craft of game writing, detailing all aspects of the process from the basics of narrative to guiding the player and the challenges of nonlinear storytelling. Throughout the book there is a strong emphasis on the skills developers and publishers expect game writers to know. This second edition brings the material up to date and adds four new chapters covering MMOs, script formats, narrative design for urban games, and new ways to think about videogame narrative as an art form. Suitable for both beginners and experienced writers, Game Writing is the essential guide to all the techniques of game writing. There's no better starting point for someone wishing to get into this exciting field, whether they are new game writers wishing to hone their skills, or screenwriters hoping to transfer their skills to the games industry.

This book examines the tangled responsibilities of states, companies, and individuals surrounding human rights in the digital age. Digital technologies have a huge impact – for better and worse – on human lives; while they can clearly enhance some human rights, they also facilitate a wide range of violations. States are expected to implement efficient measures against powerful private companies, but, at the same time, they are drawn to technologies that extend their own control over citizens. Tech companies are increasingly asked to prevent violations committed online by their users, yet many of their business models depend on the accumulation and exploitation of users’ personal data. While civil society has a crucial part to play in upholding human rights, it is also the case that individuals harm other individuals online. All three stakeholders need to ensure that technology does not provoke the disintegration of human rights. Bringing together experts from a range of disciplines, including law, international relations, and journalism, this book provides a detailed analysis of the impact of digital technologies on human rights, which will be of interest to academics, research students and professionals concerned by this issue.

Through an array of detailed case studies, this book explores the vibrant digital expressions of diverse groups of Muslim cybernauts: religious clerics and Sufis, feminists and fashionistas, artists and activists, hajj pilgrims and social media influencers. These stories span a vast cultural and geographic landscape—from Indonesia, Iran, and the Arab Middle East to North America. These granular case studies contextualize cyber Islam within broader social trends: racism and Islamophobia, gender dynamics, celebrity culture, identity politics, and the shifting terrain of contemporary religious piety and practice. The book’s authors examine an expansive range of digital multimedia technologies as primary “texts.� These include websites, podcasts, blogs, Twitter, Facebook, Instagram, YouTube channels, online magazines and discussion forums, and religious apps. The contributors also draw on a range of methodological and theoretical models from multiple academic disciplines, including communication and media studies, anthropology, history, global studies, religious studies, and Islamic studies.

Coherent Electron Microscopy: Designing Faster and Brighter Electron Sources, Volume 227 in the Advances in Imaging and Electron Physics series, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. Chapters in this new release cover Characterization of nanomaterials properties using FE-TEM, Cold field-emission electron sources: From higher brightness to ultrafast beams, Every electron counts: Towards the development of aberration optimized and aberration corrected electron sources, and more. The series features articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, electromagnetic wave propagation, electron microscopy and the computing methods used in all these domains.

The technology of Artificial Intelligence is here, and moving fast, without ethical standards in place. A Blueprint for the Regulation of Artificial Intelligence Technologies leans on classical western philosophy for its ethical grounding. Values such as conscience, rights, equity, and discrimination, establish a basis for regulatory standards. Multiple international agencies with governing interests are compared. The development of ethical standards is suggested through two new non-governmental organizations (NGOs). The first is to develop standards that evolve from practice, while the second acts as an ombudsman to settle abuse. Both NGOs are envisioned to cooperate with regulators. More than seeking a perfect solution, the book aims to balance the tension between conflicting interests, with the goal to keep this dangerously wonderful technology under global human control. For that to materialize, the technology needs to have a seat on the table of global ethics. The final chapter lists fourteen thinking points to achieve an ethics balance for new technologies.

Molecular simulation allows researchers unique insight into the structures and interactions at play in fluids. Since publication of the first edition of Molecular Simulation of Fluids, novel developments in theory, algorithms and computer hardware have generated enormous growth in simulation capabilities. This 2nd edition has been fully updated and expanded to highlight this recent progress, encompassing both Monte Carlo and molecular dynamic techniques, and providing details of theory, algorithms and both serial and parallel implementations. Beginning with a clear introduction and review of theoretical foundations, the book goes on to explore intermolecular potentials before discussing the calculation of molecular interactions in more detail. Monte Carlo simulation and integrators for molecular dynamics are then discussed further, followed by non-equilibrium molecular dynamics and molecular simulation of ensembles and phase equilibria. The use of object-orientation is examined in detail, with working examples coded in C++. Finally, practical parallel simulation algorithms are discussed using both MPI and GPUs, with the latter coded in CUDA. Drawing on the extensive experience of its expert author, Molecular Simulation of Fluids: Theory, Algorithms, Object-Orientation, and Parallel Computing 2nd Edition is a practical, accessible guide to this complex topic for all those currently using, or interested in using, molecular simulation to study fluids.

Blockchain has the potential to revolutionize how people and organizations, who may not know or trust each other, share information and carry out transactions online. Nearly every institution on the planet wants to be a leader in blockchain technology as well as a home to significant platforms, applications, and companies. There is a need for a glocal policy to meet and support these goals as blockchain technology must embrace glocal values and ideals in its legal and regulatory frameworks. Glocal Policy and Strategies for Blockchain: Building Ecosystems and Sustainability discusses the features and advantages of blockchain technology, the innovative applications of blockchain technology, and the potent and limited aspects of blockchain technology. Covering topics such as digital change, international policy, and cyber security governance, this reference work is ideal for industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine provides a comprehensive survey of artificial intelligence concepts and methodologies with real-life applications in cardiovascular medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and data science domains. The book's content consists of basic concepts of artificial intelligence and human cognition applications in cardiology and cardiac surgery. This portfolio ranges from big data, machine and deep learning, cognitive computing and natural language processing in cardiac disease states such as heart failure, hypertension and pediatric heart care. The book narrows the knowledge and expertise chasm between the data scientists, cardiologists and cardiac surgeons, inspiring clinicians to embrace artificial intelligence methodologies, educate data scientists about the medical ecosystem, and create a transformational paradigm for healthcare and medicine.