artificial intelligence and machine learning foundations andrew lowe steve lawless

Artificial Intelligence and Machine Learning Foundations - Andrew Lowe, Steve Lawless

Unlock the potential of AI in your organization with this updated, must-read guide, and discover how to leverage AI to drive innovation, improve efficiency, and gain a competitive edge.This comprehensive guide dives into the latest AI ethics legislation, explore advanced robotics and machine learning, and discover how AI enhances human capabilities. Gain powerful insights into today’s AI applications and learn how emerging trends could reshape industries while addressing critical ethical challenges. Perfect for beginners and strategists alike, this book is your launchpad to crafting a forward-thinking AI strategy that meets modern standards and keeps your organization on the cutting edge of responsible AI. The new edition aligns to the updated BCS Certification in AI Foundation and Essentials, which this book supports as essential reading.

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Practical Deep Learning, 2nd Edition - Ronald T. Kneusel

If you''ve been curious about artificial intelligence and machine learning but didn''t know where to start, this is the book you''ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you''ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models'' performance. You''ll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they''re trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You''ll conduct experiments along the way, building to a final case study that incorporates everything you''ve learned. This second edition is thoroughly revised and updated, and adds ... Unknown localization key: "more"

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Social Media Measurement and Management - Jeremy Harris Lipschultz

This revised and updated textbook applies a critical and practical lens to the world of social media analytics. Author Jeremy Harris Lipschultz explores the foundations of digital data, strategic tools, and best practices in an accessible volume for students and practitioners of social media communication.This second edition expands upon entrepreneurship, marketing, and technological principles, demonstrating how raising awareness, sparking engagement, and producing business outcomes all require emphasis on customers, employees, and other stakeholders within paid, earned, social, and owned media. It also looks to the future, examining how the movement toward artificial intelligence and machine learning raises new legal and ethical issues in effective management of social media data. Additionally, the book offers a solid grounding in the principles of social media measurement itself, teaching the strategies and techniques that enable effective analysis. It features theoretical and practical advice, a comprehensive glossary of key terms, and case studies from academic and industry thought leaders.A perfect primer for this developing industry, this book is ideal for students, scholars, and practitioners of digital media seeking to hone their skills and expand their bank of new tools and resources.

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Emerging ICT Technologies and Cybersecurity - Al-Sakib Khan Pathan, Sadia Ismat, Kutub Thakur

This book introduces some fundamentals of information and communication technology (ICT) and other current and future technologies that are relevant to the field of cybersecurity. In a digitally connected world, cybersecurity is one of the most important issues today. We have witnessed tremendous advancements over the last two decades in various fields of networking, connectivity, electronics, and the technologies that make use of those platforms and devices. Many emerging technologies are also showing promise for future use in the cybersecurity area. Hence, it is important to understand some basics of the technologies and concepts that are making their impacts today and those which may show stronger influence in the near future. The book begins with an introduction to ICT and its advancements, then talks about Artificial Intelligence (AI), Machine Learning (ML), and Blockchain Technologies. It then goes on to cover wireless technology, Internet of Things (IoT), Distributed Cloud Computing, Quantum Computing, Virtual Reality, and other futuristic technologies that would be directly related to Cyberspace and Cybersecurity.This textbook is written in a step-by-step manner, with easily accessible information for both general readers and experts in the field. It is suitable to be used as a textbook for undergraduate and graduate courses ... Unknown localization key: "more"

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Human and Machine Learning

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications. However, because of the nature of "black-box" in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions. This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency. The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications.This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning. The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making.This book is intended for researchers and practitioners involved with machine learning and its applications. The book will especially ... Unknown localization key: "more"

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Artificial Intelligence and Ethics - Tarnveer Singh

Artificial Intelligence and Ethics is a general and wide-ranging survey of the benefits and ethical dilemmas of artificial intelligence (AI). The rise of AI and super-intelligent AI has created an urgent need to understand the many and varied ethical issues surrounding the technologies and applications of AI. This book lays a path towards the benefits and away from potential risks. It includes over thirty short chapters covering the widest array of topics from generative AI to superintelligence, from regulation to transparency, and from cybersecurity to risk management. Written by an award-winning Chief Information Security Officer (CISO) and experienced Technology Leader with two decades of industry experience, the book includes real-life examples and up-to-date references. The book will be of particular interest to business stakeholders, including executives, scientists, ethicists and policymakers, considering the complexities of AI and how to navigate these.

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Artificial Intelligence and Mathematical Methods in Pavement and Geomechanical Systems

The book covers a wide range of Artificial Intelligence (AI) and Mathematical Methods issues, research and applications in the area of pavement, geomechanical and few examples on geo-environmental systems: Application of Artificial Neural Networks; Data mining applications; Stochastic Finite Element; Fuzzy Set Theory; Artificial Immune Systems; Probabilistic Reasoning; System Identification Techniques; Image Processing. This collection of papers provides researchers and engineers with a current comprehensive look at available and emerging AI and Mathematical Methods within pavement and geomechanical systems.

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Multivariate Statistics and Machine Learning - Daniel J. Denis

Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less “hands on” works can be pursued. With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical and computational sciences for years to come.  Â

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The Object-Oriented Approach to Problem Solving and Machine Learning with Python - Maha Hadid, Sujith Samuel Mathew, Shahbano Farooq, Mohammad Amin K

This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.Start by solidifying your OOP foundation with clear explanations of core concepts like use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.This book doesn''t stop at the basics. Explore how OOP empowers fields like data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.Each chapter is designed for hands-on learning. You''ll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.

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Artificial Intelligence and Industry 5.0 - Narahari G. Sastry

Artificial Intelligence and Industry 5.0 is a textbook that bridges theoretical foundations of AI with its applications in the emerging areas of Industry 5.0. The book is written to provide a foundation for machine learning and deep learning with their applications in natural sciences by providing worked-out examples and exercises. The book takes a balanced approach between the theoretical basis for machine learning and its applications. It covers topics including artificial neural networks, machine learning, supervised and unsupervised learning, deep learning, convolution neural networks, and recurrent neural networks. Besides, the book also includes topics such as pattern recognition, natural language processing and metaheuristic algorithms which will give readers to understand some of the vital areas where AI plays a significant role. The well-explained algorithms and pseudocodes for each topic help students to apply them in their relevant field.

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Artificial Intelligence and Work

In an era marked by insecurity from neoliberalism, financial volatility, political instability, regional conflicts, pandemics, and the climate crisis, Artificial Intelligence (AI) is revolutionizing our work, organizations, societies, and the environment. This critical text explores who truly benefits from AI′s development and deployment, offering a comprehensive overview of AI′s nature, history, and applications. It delves into crucial themes such as the future of work, digitalization, neoliberalism′s impact, power dynamics, ethics, inequality, gender, race, intersectional discrimination, and environmental sustainability. Unlike practical machine learning guides, this book examines how AI and AI-based technologies are transforming work, highlighting both benefits and potential harms. Combining critical management and leadership studies with organizational sociology, it addresses societal implications, inequality, ethics, and power often overlooked by other textbooks. John Bratton′s lucid and engaging writing style brings a cutting-edge subject to life, blending breadth, critical analysis, and academic rigor. Contemporary examples illustrate AI′s real-life implications for organizations and work today, while thought-provoking questions encourage readers to engage with and reflect on the topics throughout. Authored by John Bratton, an Honorary Professor at Queen’s University Belfast, and Laura Steele, a Senior Lecturer in Business and Society at Queen’s University Belfast, this interdisciplinary text is essential for students studying ... Unknown localization key: "more"

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Data Science and Machine Learning for Non-Programmers - Dothang Truong

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively.Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders.Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.

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Artificial Intelligence and Life in the Fourth Industrial Revolution - Jean-Francois Caron

This book considers the core theoretical concepts central to understanding Artificial Intelligence (AI) and the Fourth Industrial Revolution, providing a clear view of what machines can achieve and what sets them apart from humans. Adopting a balance between an overly critical view fueled by fear, and an uncritical openness based upon the potential benefits, the author argues human uniqueness isn’t inherently threatened by these new technologies, but this does not mean we should use them without restrictions or care. Importantly, he considers the ways human uniqueness will have to evolve as more of our current tasks become automated, and the potential for great improvements in the human condition this might bring as we are forced to shift our attention towards the tasks only we can fully achieve. This accessible, thorough analysis offers anyone interested in the positive and negative implications of AI, autonomous robots, machine-learning and other technologies of the Fourth Industrial Revolution to enjoy a broad, accessible, and theoretically sound overview of what the new technologies mean to us as humans.

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The Statistical Physics of Data Assimilation and Machine Learning - Henry D. I. Abarbanel

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

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Artificial Intelligence and Entertainment - Tammy Enz

The future of entertainment is here. Computers have outsmarted expert chess champions, and gaming software knows how to adapt to your playing style. Artificial Intelligence (AI) is at the heart of these changes. Learn how AI has transformed entertainment and about the problems we could soon face because of AI.

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Artificial Intelligence and Public Policy - Fernando Filgueiras

In a global landscape shaped by technology, artificial intelligence (AI) is emerging as a disruptive force, redefining the very essence of governance. This Element delves into the intricate relationship between AI and the policy process. The rise of AI introduces an unprecedented 'sociotechnical reengineering.'

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Pattern Recognition and Machine Learning - Christopher M. Bishop

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

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Artificial Intelligence and Work - Alicia Z. Klepeis

What kind of work might be taken over by Artificial Intelligence (AI)? From doing dangerous jobs to helping to create products, the ideas are endless. Learn how the future of work might change because of AI.

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Pattern Recognition and Machine Learning - Christopher M. Bishop

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

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Fundamentals of Pattern Recognition and Machine Learning - Ulisses Braga-Neto

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression.

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Graph-Powered Analytics and Machine Learning with TigerGraph - Ph.D., Victor Lee, Xinyu Chang, Phuc Kien Nguyen

This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.

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Awkward Intelligence - Katharina A. Zweig, Noah Block-Harley

An expert offers a guide to where we should use artificial intelligence—and where we should not.Before we know it, artificial intelligence (AI) will work its way into every corner of our lives, making decisions about, with, and for us. Is this a good thing? There’s a tendency to think that machines can be more “objective” than humans—can make better decisions about job applicants, for example, or risk assessments. In Awkward Intelligence, AI expert Katharina Zweig offers readers the inside story, explaining how many levers computer and data scientists must pull for AI’s supposedly objective decision making. She presents the good and the bad: AI is good at processing vast quantities of data that humans cannot—but it’s bad at making judgments about people. AI is accurate at sifting through billions of websites to offer up the best results for our search queries and it has beaten reigning champions in games of chess and Go. But, drawing on her own research, Zweig shows how inaccurate AI is, for example, at predicting whether someone with a previous conviction will become a repeat offender. It’s no better than simple guesswork, and yet it’s used to determine people’s futures. Zweig introduces readers to the basics ... Unknown localization key: "more"

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Philosophical Foundations of Psychotherapy - James Costello

Philosophical Foundations of Psychotherapy promotes a critical understanding of the ideas, traditions, values, and principles that inform and shape – for better or for worse – what therapists do.The book challenges the unhelpful misconception that philosophy is for philosophers alone, because human reality is too complex for therapists to be unaware of the foundations, difficulties, and contradictions within our value systems, ethics, and assumptions. By retrieving attitudes from other times and other places, traversing the relational contours of history right up to contemporary thinkers and practitioners, the author argues that not only do relationships heal, but they offer the only safe harbour in life’s sea of troubles. He promotes a conscientious radical relationality, which remains attentive to its influences, including contemporary debates about our neoliberal selves, the superstructures of culture, and the ethics of authenticity. In stepping back from the sometimes- narrow concerns of our therapeutic methods, the book explores broader themes important for living well: what is the good of therapy, how do we reconcile our sense of futility in the face of an indifferent universe, postcolonial debates, responses to disembodied artificial intelligence, and alternatives to our human- centred stance towards Nature.This book is primarily for practitioners, trainees, and ... Unknown localization key: "more"

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Sons of Valor III: War Machine - Brian Andrews, Jeffrey Wilson

In Sons of Valor III: War Machine, Chunk and Whitney are forced into a deadly match of wits with a terrorist mastermind and a terrifying weapon unlike anything they’ve ever encountered.After a shootout in Dubai left Hamza al-Saud dead and elevated brilliant aeronautical engineer Qasim Nadar to hero status in England, everyone assumes the terrorist threat from al Qadar has been eliminated. Everyone except JSOC counterterrorism analyst Whitney Watts. But when she decides to help MI6 penetrate Nadar’s secret network, Watts gets a little too close to the truth and finds herself in a deadly situation not even her teammates from Tier One can save her from.As Lieutenant Commander Keith “Chunk” Redman and the rest of Tier One fan out across London in search of Watts, Nadar prepares to unleash his most dangerous weapon yet—an advanced drone with artificial intelligence and stealth technology. To stop a horrifying attack on London, Chunk and his Navy SEAL brethren must seek help from an unexpected ally and find a way to stop a war machine that was designed to be unstoppable.

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Mathematical Foundations Of Information Sciences - Esfandiar Haghverdi, Liugen Zhu

This is a concise book that introduces students to the basics of logical thinking and important mathematical structures that are critical for a solid understanding of logical formalisms themselves as well as for building the necessary background to tackle other fields that are based on these logical principles. Despite its compact and small size, it includes many solved problems and quite a few end-of-section exercises that will help readers consolidate their understanding of the material.This textbook is essential reading for anyone interested in the logical foundations of Informatics, Computer Science, Data Science, Artificial Intelligence, and other related areas. Written with undergraduate students in these disciplines in mind, this book can very well serve the needs of interested and curious readers who wish to get a grasp of the logical principles upon which these fields are built. This book does not require readers to possess math skills beyond those learned in high school.

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The Origins of Victory - Andrew F. Krepinevich Jr.

How the character of war is changing and how militaries can successfully adapt to meet the challenge This book by military strategist Andrew F. Krepinevich, Jr., is the definitive take on the race for military dominance in the twenty-first century. It shows how militaries that successfully pursue disruptive innovation can gain a major advantage over their rivals, while those that fail to do so risk exposing their countries to great danger.The Precision Warfare Revolution introduced by the U.S. military in the First Gulf War found the United States enjoying a near monopoly in this form of warfare for several decades. But now other powers have these capabilities.The U.S. military also confronts an emerging military revolution driven by advances across a wide range of technologies—from artificial intelligence and synthetic biology to quantum computing and additive manufacturing. To stay competitive, the U.S.military must pursue disruptive innovation in a race with other militaries to exploit war’s changing character. Clues exist as to the winner’s identity. They are revealed by militaries that went beyond the bounds of mere innovation to overturn the existing forms of warfare, changing the course of history and the fate of nations.Through exploring their experiences, Krepinevich shows how the U.S. ... Unknown localization key: "more"

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Adaptive Markets - Andrew W. Lo

A new, evolutionary explanation of markets and investor behavior Half of all Americans have money in the stock market, yet economists can't agree on whether investors and markets are rational and efficient, as modern financial theory assumes, or irrational and inefficient, as behavioral economists believe--and as financial bubbles, crashes, and crises suggest. This is one of the biggest debates in economics and the value or futility of investment management and financial regulation hang on the outcome. In this groundbreaking book, Andrew Lo cuts through this debate with a new framework, the Adaptive Markets Hypothesis, in which rationality and irrationality coexist. Drawing on psychology, evolutionary biology, neuroscience, artificial intelligence, and other fields, Adaptive Markets shows that the theory of market efficiency isn't wrong but merely incomplete. When markets are unstable, investors react instinctively, creating inefficiencies for others to exploit. Lo's new paradigm explains how financial evolution shapes behavior and markets at the speed of thought--a fact revealed by swings between stability and crisis, profit and loss, and innovation and regulation. A fascinating intellectual journey filled with compelling stories, Adaptive Markets starts with the origins of market efficiency and its failures, turns to the foundations of investor behavior, and concludes with practical ... Unknown localization key: "more"

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The Intelligence Revolution - Bernard Marr

Harness the transformative power of artificial intelligence and integrate it in your business strategy to deliver intelligent products, services and business processes that put you above the rest.

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Deep Learning for Crack-Like Object Detection - Heng-Da Cheng, Kaige Zhang

Computer vision-based crack-like object detection has many useful applications, such as inspecting/monitoring pavement surface, underground pipeline, bridge cracks, railway tracks etc. However, in most contexts, cracks appear as thin, irregular long-narrow objects, and often are buried in complex, textured background with high diversity which make the crack detection very challenging. During the past a few years, deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems.This book discusses crack-like object detection problem comprehensively. It starts by discussing traditional image processing approaches for solving this problem, and then introduces deep learning-based methods. It provides a detailed review of object detection problems and focuses on the most challenging problem, crack-like object detection, to dig deep into the deep learning method. It includes examples of real-world problems, which are easy to understand and could be a good tutorial for introducing computer vision and machine learning.

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Our Future is Biotech - Andrew Craig

Welcome to the biotech revolution In the last century, technology has transformed the human experience across the world. This has been super-charged by the arrival of the internet, smart phones, AI and machine learning, and created trillion-plus dollar companies and household names like Apple, Amazon, Google and Microsoft.Our Future is Biotech explains why biotech is next: because our biggest remaining challenges as a species concern biological systems. Biotech companies will solve our most intractable problems, from cancer, dementia, obesity and diabetes to elderly care, mental health conditions, and even power generation, agricultural production and environmental degradation. Biotech means that we will live better, safer, healthier, wealthier, happier, and longer lives. The industry has already delivered "miracle cures" for several diseases, and there is more to come. But despite this, few people are aware of the phenomenal progress being made. Our Future is Biotech addresses this, explaining what biotech is, what is coming next, and how you might profit from it too. Tech has been the most important theme for human progress for the last century. Biotech is next.

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Automating Empathy - Andrew McStay

This is an open access title. It is made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International license. It is available to read and download as a PDF version on the Oxford Academic platform.We live in a world where artificial intelligence and intensive use of personal data has become normalized. Companies across the world are developing and launching technologies to infer and interact with emotions, mental states, and human conditions. However, the methods and means of mediating information about people and their emotional states are incomplete and problematic. Automating Empathy offers a critical exploration of technologies that sense intimate dimensions of human life and the modern ethical questions raised by attempts to perform and simulate empathy. It traces the ascendance of empathic technologies from their origins in physiognomy and pathognomy to the modern day and explores technologies in nations with non-Western ethical histories and approaches to emotion, such as Japan. The book examines applications of empathic technologies across sectors such as education, policing, and transportation, and considers key questions of everyday use such as the integration of human-state sensing in mixed reality, the use of neurotechnologies, and the moral limits of using data gleaned through automated empathy. Ultimately, ... Unknown localization key: "more"

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Drawing Codes - Adam Marcus, Andrew Kudless

"Expand your mind and look good doing it with these new boundary-bending works of theoretical exploration by some of the field’s premier thinkers." — The Architect''s NewspaperEmerging technologies of design and production have transformed the role of drawings within the contemporary design process from that of design generators to design products. As architectural design has shifted from an analogue drawing-based paradigm to that of a computational model-based paradigm, the agency of the drawing as a critical and important form of design representation has shifted. Drawing Codes: Experimental Protocols of Architectural Representation examines the effects of this transformation on the architectural discipline and explores how architects have critically integrated procedural thinking into their drawing process. The book contains 96 commissioned drawings by a diverse range of architects that investigate how rules and constraints inform the ways architects document, analyse, represent, and design the built environment. The publication features essays by architects and theorists offering diverse perspectives on how computational techniques and, more importantly, computational thinking, can revitalise the role of architectural drawing as a creative and critical act.Each drawing responds to a shared conceptual prompt developed by the authors and conforms to a standard size and format. The intent is for ... Unknown localization key: "more"

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2084 and the AI Revolution, Updated and Expanded Edition - John Lennox C.

Will technology change what it means to be human?You don''t have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we''re headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell''s 1984?Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses, and he shows that Christianity has some very serious, sensible, evidence-based things to say about the nature of our quest for superintelligence.This newly updated and expanded edition of 2084 will introduce you to a kaleidoscope of ideas:Key recent developments in technological enhancement, bioengineering, and, in particular, artificial intelligence.Consideration of the nature of AI systems with insights from neuroscience.The way AI is changing how we communicate, implications for medicine, manufacturing and the military, its use in advertising and automobiles, and education and the future of work.How data is used today for surveillance, thought control.The rise of virtual reality and the metaverse.The transhumanist agenda and longtermism.The agreements and disagreements that scientists and experts have about the future ... Unknown localization key: "more"

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Rockwood and Green's Fractures in Adults: Print + eBook with Multimedia - Benjamin J., MD Ollivere, Victor A., MD PhD MBA PhD de Ridder, Robert F. Ost

Selected as a Doody’s Essential Title for 2025! Since its first edition over 60 years ago, Rockwood and Green’s Fractures in Adults has been the go-to reference for treating a wide range of fractures in adult patients. The landmark, two-volume tenth edition continues this tradition with two new international editors, a refreshed mix of contributors, and revised content throughout, bringing you fully up to date with today’s techniques and technologies for treating fractures in orthopaedics. Drs. Paul Tornetta III, William M. Ricci, Robert F. Ostrum, Michael D. McKee, Benjamin J. Ollivere, and Victor A. de Ridder lead a team of experts who ensure that the most up-to-date information is presented in a comprehensive yet easy to digest manner. Follows a templated format throughout, with numerous time-saving treatment algorithms, checklists, charts, and tables for quick reference Presents preoperative planning in convenient checklists; nonoperative treatments, pitfalls, management of adverse outcomes, and operative techniques in easy-to-read tables; detailed “Author’s Preferred Treatment” algorithms, and annotated references for key trials and studies Includes two completely new chapters on Artificial Intelligence and 3D-Guided Surgery in Orthopaedic Trauma, and Regional Anesthesia for Fractures and Dislocations Offers deepened coverage of periprosthetic fractures of the upper extremity, atypical fractures ... Unknown localization key: "more"

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Neonatology Questions and Controversies: Gastroenterology and Nutrition

**Selected for Doody’s Core Titles® 2024 in Gastroenterology**Dr. Richard Polin’s Neonatology Questions and Controversies series highlights the toughest challenges facing physicians and care providers in clinical practice, offering trustworthy guidance on up-to-date diagnostic and treatment options in the field. In each volume, renowned experts address the clinical problems of greatest concern to today’s practitioners, helping you handle difficult practice issues and provide optimal, evidence-based care to every patient.The thoroughly updated, full-color, 4th Edition of Gastroenterology and Nutrition: Provides in-depth clinical overviews of both common and rare neonatal GI and nutritional disorders, offering guidance based on the most up-to-date understanding of underlying pathophysiologyPlaces emphasis on controversial areas that can entail different approachesFeatures the most current clinical information throughout, including the dynamic composition of human milk for precision nutrition, how the developmental biology of the GI tract relates to optimizing nutrition for the most vulnerable infants, interactions of the gut with the brain and other organs, associations between the GI tract and nutritional health and disease with individual nutrients, microbes, and metabolites, and moreCovers rapidly emerging technologies such as artificial intelligence and multiomics for predictive analytics, as well as in augmenting our understanding of mechanisms of pathophysiologyDiscusses how diagnoses such as sepsis, ... Unknown localization key: "more"

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Smart Energy and Electric Power Systems

Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector.

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Applications And Trends In Fintech I: Governance, Ai, And Blockchain Design Thinking

This book is the first part of Applications and Trends in Fintech, which serves as a comprehensive guide to the advanced topics in fintech, including the deep learning and natural language processing algorithms, blockchain design thinking, token economics, cybersecurity, cloud computing and quantum computing, compliance and risk management, and global fintech trends. Readers will gain knowledge about the applications of fintech in finance and its latest developments as well as trends.This fourth volume covers the foundation of fintech, which is ethics and governance, and advanced topics in two of the most important technologies, artificial intelligence and blockchain. Together with the second part in applications and trends (fifth volume), these two books will deepen readers'' understanding of the fintech fundamentals covered in previous volumes through various applications and analysis of impacts and trends.Bundle set: Global Fintech Institute-Chartered Fintech Professional Set I

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Shakespeare and Scale - Anupam Basu

Scale has been the central promise of the digital turn. The creation of corpora such as EEBO and EEBO-TCP have eased the logistics of access to primary sources for scholars of Shakespeare and early English literature and culture and fundamentally altered the ways in which we retrieve, read, think about, and analyze texts. However, the large-scale curation of historical corpora poses unique challenges and requires scholarly insight and significant algorithmic intervention. In sectionschapters on ''Text,'' ''Corpus,'' ''Search,'' and ''Discovery,'' this Eelement problematizes the specific affordances of computation and scale as primary conceptual categories rather than incidental artifacts of digitization. From text-encoding and search to corpus-scale data visualization and machine-learning, it discusses a range of computational techniques that can facilitate corpus curation and enable exploratory, experimental modes of discovery that not only serve as tools to ease access but accommodate and respond to the demands of humanistic inquiry.

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You Look Like a Thing and I Love You - Shane

''I can''t think of a better way to learn about artificial intelligence, and I''ve never had so much fun along the way'' Adam Grant, New York Times bestselling author of Originals and Option B AI is the technology of the future, but how does it actually work? A hilarious, transporting look under the hood of the technology that''s changing the world - and why it''s dumber than we thinkYou Look Like a Thing and I Love You is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She makes silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans - all to understand the technology that governs so much of our human lives. We rely on AI every day for recommendations, for rust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really . . . and how does it solve problems, understand humans, and drive self-driving cars?This hilarious introduction to the most interesting science of our time, shows us how these programs ... Unknown localization key: "more"

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Design Thinking and Innovation Metrics - Michael Lewrick

Create, manage, and measure innovation In Design Thinking and Innovation Metrics: Powerful Tools to Manage Creativity, OKRs, Product, and Business Success, bestselling author Michael Lewrick delivers a simple and straightforward playbook to manage and measure innovation. In the book, you’ll learn how to utilize the design thinking paradigm for innovation success and how successful leaders manage Explore and Exploit portfolios to create impact. The author explains how to: Strategically employ data analytics, artificial intelligence, and neurodesign to drive innovation and business resultsDeploy Objectives and Key Results (OKRs) for innovation teams to realize true alignment between the business and team performanceUse the provided hands-on tools to measure your firm’s success at creating meaningfully new and interesting products, services, and experiencesPart of the Design Thinking Series, Design Thinking and Innovation Metrics will earn a place in the libraries of managers, executives, product owners, innovation teams, entrepreneurs, and other business leaders.

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Politics and Expertise - Zeynep Pamuk

A new model for the relationship between science and democracy that spans policymaking, the funding and conduct of research, and our approach to new technologiesOur ability to act on some of the most pressing issues of our time, from pandemics and climate change to artificial intelligence and nuclear weapons, depends on knowledge provided by scientists and other experts. Meanwhile, contemporary political life is increasingly characterized by problematic responses to expertise, with denials of science on the one hand and complaints about the ignorance of the citizenry on the other. Politics and Expertise offers a new model for the relationship between science and democracy, rooted in the ways in which scientific knowledge and the political context of its use are imperfect. Zeynep Pamuk starts from the fact that science is uncertain, incomplete, and contested, and shows how scientists’ judgments about what is significant and useful shape the agenda and framing of political decisions. The challenge, Pamuk argues, is to ensure that democracies can expose and contest the assumptions and omissions of scientists, instead of choosing between wholesale acceptance or rejection of expertise. To this end, she argues for institutions that support scientific dissent, proposes an adversarial “science court” to facilitate the ... Unknown localization key: "more"

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The Hidden Girl and Other Stories - Ken Liu

From the title story''s fantastical inter-dimensional assassins to the steampunk dystopia of "Grey Rabbit, Crimson Mare, Coal Leopard" burrowing through the ruins of a civilisation destroyed by a plague, from Black Mirror-esque tales of blockchain cryptography ("Byzantine Empathy") and Internet trolling ("Thoughts and Prayers") to a three-story hard-SF arc about artificial intelligence and the singularity ("The Gods Will Not Be Chained", "The Gods Will Not Be Slain" and "The Gods Have Not Died In Vain"), here are 17 interlinking visions that explore what it is to be human, and what it is like to abandon or transcend that. This collection confirms Ken Liu, author of the astonishing and multi-award winning The Paper Menagerie and Other Stories, as one of speculative fiction''s greatest short story writers. Contents include: Ghost Days, Maxwell''s Demon,The Reborn, Thoughts and Prayers, Byzantine Empathy, The Gods Will Not Be Chained, Staying Behind, Real Artists, The Gods Will Not Be Slain, Altogether Elsewhere Vast Herds of Reindeer, The Gods Have Not Died in Vain, Memories of My Mother, Dispatches from the Cradle: The Hermit – Forty-Eight Hours in the Sea of Massachusetts, Grey Rabbit, Crimson Mare, Coal Leopard, A Chase Beyond the Storms (an excerpt from The Veiled ... Unknown localization key: "more"

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Sergey Brin and Larry Page - Chris McNab

From their promising beginnings at Stanford to their founding of Google and beyond, this fascinating biography charts the extraordinary rise of tech duo Sergey Brin and Larry Page.As PhD students at Stanford University, Larry Page and Sergey Brin devised a powerful search engine. Google, the company they founded in 1998 became a brand, the world''s pre-eminent search engine, a centre of artificial intelligence and a source of data collection. This fascinating biography looks at the background behind the formation of the company, as well as the technology and the business model that led it to become so successful.Featuring photographs which chronicle their rise to success, this book is fascinating read for aspiring entrepreneurs or anyone looking to build a successful business.ABOUT THE SERIES: The Arcturus Visionaries series brings together entertaining biographies of leading figures within business world and beyond, tracing their lives, ground-breaking ideas and the innovative thinking that made them world-famous.

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Researching Digital Media and Society - Simon Lindgren, Moa Eriksson Krutrok

We live in an increasingly digitised society. In an age of digital identities, rapid developments in Artificial Intelligence and ever more sophisticated software available, our methods for researching digital media must be flexible and adaptable. This book will help you to understand why researchers in this field choose and use particular research methods, equipping you to put these methods into practice across the whole range of undergraduate media courses. This book shows you how research methods can help us to make sense of the myriad of information we encounter online every day, from Tiktok influencers to viral Twitter posts. Complete with case studies in each chapter, the book covers both well-established methods, such as network analysis, and cutting-edge ones, such as interface analysis. It provides a crucial foundation for research in digital media, demonstrating the scope and potential of these tools. The book adopts an easy-to-navigate structure, taking you through specific methods in a systematic way. It shows you examples of classic uses of each method, and directs you towards further resources after each chapter.

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Analyzing Future Applications of AI, Sensors, and Robotics in Society

The rise of artificial intelligence and its countless branches have caused many professional industries to rethink their traditional methods of practice and develop new techniques to keep pace with technological advancement. The continued use of intelligent technologies in the professional world has propelled researchers to contemplate future opportunities and challenges that artificial intelligence may withhold. Significant research is a necessity for understanding future trends of artificial intelligence and the preparation of prospective issues. Analyzing Future Applications of AI, Sensors, and Robotics in Society provides emerging research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. Featuring coverage on a broad range of topics such as neuronal networks, cognitive computing, and e-health, this book is ideally designed for practitioners, researchers, scientists, executives, strategists, policymakers, academicians, government officials, developers, and students seeking current research on future societal uses of intelligent technology.

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AI and ML for Coders in Pytorch - Laurence Moroney

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for programmers, it focuses on practical applications using PyTorch, helping you build real-world models without feeling overwhelmed.

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Artificial Intelligence, Society and Religion - Karim Hirji

Humans derive information from a complex natural and social environment, learn from experience, create tools, adapt to change, plan actions, act in a critical and rational manner, and formulate concrete and abstract ideas. In other words, humans have intelligence. A machine that displays some or all of these characteristics has artificial intelligence (AI). Attempts to create AI systems have a long history. Yet, AI systems emerged hardly a decade ago. Since then, AI has developed remarkable capabilities. Modern AI platforms and AI-powered robots can, among other things, converse, give erudite lectures, write essays and advertising material, create images and videos, drive cars and guide drones, initiate and conduct science research, diagnose and make treatments plans for sick individuals, and so on. The impact of AI is evident in virtually all fields of human activity. The rapid pace of AI has stirred debate on whether it will not only induce mass unemployment, inequality and a major social crisis but also that one day, sentient artificial beings smarter than humans will take over the world. RELIGION, SOCIETY AND ARTIFICIAL INTELLIGENCE has three basic aims. One, it provides an accessible description of AI, its capabilities and its advantages and disadvantages. Two, it explores ... Unknown localization key: "more"

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Very Short Introduction for Curious Young Minds: Robots, Gadgets, and Artificial Intelligence - Tom Jackson

What is artificial intelligence? How have robots evolved? And what does the future have in store? Find all the answers in Very Short Introductions for Curious Young Minds: Robots, Gadgets and Artificial Intelligence!Expertly written by Tom Jackson, this fact-filled book is perfect for curious kids aged 9 and over. It explains all the need-to-know information about AI, including the different types how they''ll be used in the future! Meet the heroes of the artificial intelligence, from the early beginnings to modern day, and learn how to speak like a scientist with all the key vocabulary explained. Comic strips, illustrations, amazing photographs, and timelines all make this handy-sized book the perfect introduction to a fascinating topic! If you love this title, why not collect them all? Children can discover more Very Short Introductions for Curious Young Minds in The Expanding World of Data and The Secrets of the Universe!

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Python for Scientific Computing and Artificial Intelligence - Stephen Lynch

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.Features:No prior experience of programming is requiredOnline GitHub repository available with codes for readers to practiceCovers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computingFull solutions to exercises are available as Jupyter notebooks on the WebSupport MaterialGitHub Repository of Python Files and Notebooks: https://github.com/proflynch/CRC-Press/Solutions to All Exercises:Section 1: An Introduction to Python: https://drstephenlynch.github.io/webpages/Solutions_Section_1.htmlSection 2: Python for Scientific Computing: ... Unknown localization key: "more"

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Artificial Intelligence For Dummies - John Paul Mueller, Luca Massaron, Stephanie Diamond

Dive into the intelligence that powers artificial intelligence Artificial intelligence is swiftly moving from a sci-fi future to a modern reality. This edition of Artificial Intelligence For Dummies keeps pace with the lighting-fast expansion of AI tools that are overhauling every corner of reality. This book demystifies how artificial intelligence systems operate, giving you a look at the inner workings of AI and explaining the important role of data in creating intelligence. You'll get a primer on using AI in everyday life, and you'll also get a glimpse into possible AI-driven futures. What's next for humanity in the age of AI? How will your job and your life change as AI continue to evolve? How can you take advantage of AI today to make your live easier? This jargon-free Dummies guide answers all your most pressing questions about the world of artificial intelligence. Learn the basics of AI hardware and software, and how intelligence is created from codeGet up to date with the latest AI trends and disruptions across industriesWrap your mind around what the AI revolution means for humanity, and for youDiscover tips on using generative AI ethically and effectively Artificial Intelligence For Dummies is the ideal starting point ... Unknown localization key: "more"

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