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| examples of ai writing: Artificial Intelligence in Practice Bernard Marr, 2019-04-15 Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce. |
| examples of ai writing: Netherspace Andrew Lane, Nigel Foster, 2017-05-23 Fans of Elizabeth Moon and Anne Leckie will love this first thrilling adventure in an epic space opera trilogy—set in a future where alien technology comes at a steep price: human life. Aliens came to Earth 40 years ago. Their anatomy proved unfathomable and all attempts at communication failed. But through trade, humanity gained technology that allowed them to colonize the stars. The price: live humans for every alien faster-than-light drive. Kara’s sister was one of hundreds exchanged for this technology, and Kara has little love for aliens. So when she is drafted by GalDiv—the organization that oversees alien trades—it is under duress. A group of colonists have been kidnapped by aliens and taken to an uncharted planet, and an unusual team is to be sent to negotiate. As an ex-army sniper, Kara’s role is clear. But artist Marc has no combat experience, although the team’s pre-cog Tse is adamant that he has a part to play. All three know that success is unlikely. For how will they negotiate with aliens when communication between the species is impossible? |
| examples of ai writing: The Artist in the Machine Arthur I. Miller, 2019-10-01 An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature. |
| examples of ai writing: Artificial Intelligence By Example Denis Rothman, 2020-02-28 Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples Key FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using artificial intelligence examplesDevelop machine intelligence from scratch using real artificial intelligenceBook Description AI has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing. By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions. What you will learnApply k-nearest neighbors (KNN) to language translations and explore the opportunities in Google TranslateUnderstand chained algorithms combining unsupervised learning with decision treesSolve the XOR problem with feedforward neural networks (FNN) and build its architecture to represent a data flow graphLearn about meta learning models with hybrid neural networksCreate a chatbot and optimize its emotional intelligence deficiencies with tools such as Small Talk and data loggingBuilding conversational user interfaces (CUI) for chatbotsWriting genetic algorithms that optimize deep learning neural networksBuild quantum computing circuitsWho this book is for Developers and those interested in AI, who want to understand the fundamentals of Artificial Intelligence and implement them practically. Prior experience with Python programming and statistical knowledge is essential to make the most out of this book. |
| examples of ai writing: The Salvage Crew Yudhanjaya Wijeratne, 2020-10-27 They thought this was just another salvage job. They thought wrong. An AI overseer and a human crew arrive on a distant planet to salvage an ancient UN starship. The overseer is unhappy. The crew, well, they're certainly no A-team. Not even a C-team on the best of days. And worse? Urmahon Beta, the planet, is at the ass-end of nowhere. Everybody expects this to be a long, ugly, and thankless job. Then it all goes disastrously wrong. What they thought was an uninhabited backwater turns out to be anything but empty. Megafauna roam the land, a rival crew with some terrifyingly high-powered gear haunts the dig site, and a secret that will change humanity forever is waiting in the darkness. Stuck on this unmapped, hostile planet, lacking resources, and with tech built by the cheapest bidder, the salvage crew must engineer their way to payday...and beat Urmahon Beta before it kills them all. Experience this space exploration adventure told from the perspective of a snarky artificial intelligence you won't soon forget. It's perfect for fans of The Martian, Red Dwarf, Firefly, and We Are Legion (We Are Bob). |
| examples of ai writing: The Creativity Code Marcus Du Sautoy, 2020-03-03 “A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times |
| examples of ai writing: I Forced a Bot to Write This Book Keaton Patti, 2020-11-17 Humorist Keaton Patti forced a bot to digest massive amounts of human media to produce these absurdly funny, “totally real,” “bot-generated” scripts, essays, advertisements, and more. Ever wonder what an AI bot might come up with if tasked with creative writing? From Olive Garden commercials to White House press briefings to Game of Thrones scripts, writer and comedian Keaton Patti’s “bot” recognizes and heightens the tropes of whatever it’s reproducing to hilarious effect. Each “bot-generated” piece can be enjoyed as surrealist commentary on the media we consume every day or simply as silly robot jokes—either way, you’ll probably end up laughing. |
| examples of ai writing: Competing in the Age of AI Marco Iansiti, Karim R. Lakhani, 2020-01-07 a provocative new book — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how collisions between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI. |
| examples of ai writing: Artificial Intelligence By Example Denis Rothman, 2018-05-31 Be an adaptive thinker that leads the way to Artificial Intelligence Key Features AI-based examples to guide you in designing and implementing machine intelligence Develop your own method for future AI solutions Acquire advanced AI, machine learning, and deep learning design skills Book Description Artificial Intelligence has the potential to replicate humans in every field. This book serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, will have understood the fundamentals of AI and worked through a number of case studies that will help you develop business vision. What you will learn Use adaptive thinking to solve real-life AI case studies Rise beyond being a modern-day factory code worker Acquire advanced AI, machine learning, and deep learning designing skills Learn about cognitive NLP chatbots, quantum computing, and IoT and blockchain technology Understand future AI solutions and adapt quickly to them Develop out-of-the-box thinking to face any challenge the market presents Who this book is for Artificial Intelligence by Example is a simple, explanatory, and descriptive guide for junior developers, experienced developers, technology consultants, and those interested in AI who want to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this book. |
| examples of ai writing: Writing Effective Use Cases Alistair Cockburn, 2001 This guide will help readers learn how to employ the significant power of use cases to their software development efforts. It provides a practical methodology, presenting key use case concepts. |
| examples of ai writing: Artificial Intelligence Harvard Business Review, 2019 Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business. |
| examples of ai writing: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| examples of ai writing: You Look Like a Thing and I Love You Janelle Shane, 2019-11-05 As heard on NPR's Science Friday, discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an accessible, informative, and hilarious introduction to the weird and wonderful world of artificial intelligence (Ryan North). You 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 creates 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 daily lives. We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust 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 even drive self-driving cars? Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really Vampire Hog Bride? In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking. 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 |
| examples of ai writing: The Revelations Erik Hoel, 2021-04-06 An edgy and ambitious debut by a powerful new voice in contemporary literary fiction Monday, Kierk wakes up. Once a rising star in neuroscience, Kierk Suren is now homeless, broken by his all-consuming quest to find a scientific theory of consciousness. But when he’s offered a spot in a prestigious postdoctoral program, he decides to rejoin society and vows not to self-destruct again. Instead of focusing on his work, however, Kierk becomes obsessed with another project—investigating the sudden and suspicious death of a colleague. As his search for truth brings him closer to Carmen Green, another postdoc, their list of suspects grows, along with the sense that something sinister may be happening all around them. The Revelations, not unlike its main character, is ambitious and abrasive, challenging and disarming. Bursting with ideas, ranging from Greek mythology to the dark realities of animal testing, to some of the biggest unanswered questions facing scientists today, The Revelations is written in muscular, hypnotic prose, and its cyclically dreamlike structure pushes the boundaries of literary fiction. Erik Hoel has crafted a stunning debut of rare power—an intense look at cutting-edge science, consciousness, and human connection. |
| examples of ai writing: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| examples of ai writing: Black Buck Mateo Askaripour, 2021 For fans of Sorry to Bother You and The Wolf of Wall Street comes a blazing, satirical debut novel about a young man given a shot at stardom as the lone black salesman at a mysterious, cult-like, and wildly successful startup where nothing is as it seems. |
| examples of ai writing: Programming Game AI by Example Mat Buckland, 2005 This book describes in detail many of the AI techniques used in modern computer games, explicity shows how to implement these practical techniques within the framework of several game developers with a practical foundation to game AI. |
| examples of ai writing: The Age of A.I. Henry A Kissinger, Eric Schmidt, Daniel Huttenlocher, 2021-09-14 Artificial Intelligence (AI) is transforming human society fundamentally and profoundly. Not since the Enlightenment and the Age of Reason have we changed how we approach knowledge, politics, economics, even warfare. Three of our most accomplished and deep thinkers come together to explore what it means for us all. An A.I. that learned to play chess discovered moves that no human champion would have conceived of. Driverless cars edge forward at red lights, just like impatient humans, and so far, nobody can explain why it happens. Artificial intelligence is being put to use in sports, medicine, education, and even (frighteningly) how we wage war. In this book, three of our most accomplished and deep thinkers come together to explore how A.I. could affect our relationship with knowledge, impact our worldviews, and change society and politics as profoundly as the ideas of the Enlightenment. |
| examples of ai writing: The AI Marketing Canvas Raj Venkatesan, Jim Lecinski, 2021-05-18 This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the AI Marketing Canvas. Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture. |
| examples of ai writing: AI and education Miao, Fengchun, Holmes, Wayne, Ronghuai Huang, Hui Zhang, UNESCO, 2021-04-08 Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed] |
| examples of ai writing: Numbercaste Yudhanjaya Wijeratne, 2017-07-26 Welcome to the new world order. When Patrick Udo is offered a marketing job at NumberCorp, he packs his bags and goes to the Valley. After all, the 2030s are a difficult time, and jobs are rare. Little does he know that he's joining one of the most ambitious undertakings of his time or any other. NumberCorp, crunching through vast amounts of social network data, is building a new society - one where everyone's social circles are examined, their activities quantified, and their importance distilled into the all-powerful Number. A society where everything from your home to your education to entry at the local nightclub depends on an app that states exactly how important you are. As NumberCorp rises in power and in influence, the questions start coming in. What would you do to build the perfect state? And how far is too far? |
| examples of ai writing: Artificial Intelligence For Dummies John Paul Mueller, Luca Massaron, 2018-03-16 Step into the future with AI The term Artificial Intelligence has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever! |
| examples of ai writing: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application. |
| examples of ai writing: Made by Humans Ellen Broad, 2018-07-30 Who is designing AI? A select, narrow group. How is their world view shaping our future? Artificial intelligence can be all too human- quick to judge, capable of error, vulnerable to bias. It's made by humans, after all. Humans make decisions about the laws and standards, the tools, the ethics in this new world. Who benefits. Who gets hurt. Made by Humansexplores our role and responsibilities in automation. Roaming from Australia to the UK and the US, elite data expert Ellen Broad talks to world leaders in AI about what we need to do next. It is a personal, thought-provoking examination of humans as data and humans as the designers of systems that are meant to help us. |
| examples of ai writing: Lithium-ion Batteries , 2019 This is the first machine-generated scientific book in chemistry published by Springer Nature. Serving as an innovative prototype defining the current status of the technology, it also provides an overview about the latest trends of lithium-ion batteries research. This book explores future ways of informing researchers and professionals. State-of-the-art computer algorithms were applied to: select relevant sources from Springer Nature publications, arrange these in a topical order, and provide succinct summaries of these articles. The result is a cross-corpora auto-summarization of current texts, organized by means of a similarity-based clustering routine in coherent chapters and sections. This book summarizes more than 150 research articles published from 2016 to 2018 and provides an informative and concise overview of recent research into anode and cathode materials as well as further aspects such as separators, polymer electrolytes, thermal behavior and modelling. With this prototype, Springer Nature has begun an innovative journey to explore the field of machine-generated content and to find answers to the manifold questions on this fascinating topic. Therefore it was intentionally decided not to manually polish or copy-edit any of the texts so as to highlight the current status and remaining boundaries of machine-generated content. Our goal is to initiate a broad discussion, together with the research community and domain experts, about the future opportunities, challenges and limitations of this technology.--Publisher's website. |
| examples of ai writing: Artificial Intelligence and Scientific Method Donald Gillies, 1996-09-05 Artificial Intelligence and Scientific Method examines the remarkable advances made in the field of AI over the past twenty years, discussing their profound implications for philosophy. Taking a clear, non-technical approach, Donald Gillies shows how current views on scientific method are challenged by this recent research, and suggests a new framework for the study of logic. Finally, he draws on work by such seminal thinkers as Bacon, Gödel, Popper, Penrose, and Lucas, to address the hotly contested question of whether computers might become intellectually superior to human beings. |
| examples of ai writing: Utilizing AI Tools in Academic Research Writing Srivastava, Anugamini Priya, Agarwal, Sucheta, 2024-05-02 Those entrenched in academia often have daunting processes of formulating research questions, data collection, analysis, and scholarly paper composition. Artificial intelligence (AI) emerges as an invaluable ally, simplifying these processes and elevating the quality of scholarly output. Where the pursuit of knowledge meets the cutting edge of technology, Utilizing AI Tools in Academic Research Writing unfolds a transformative journey through the symbiotic relationship between AI and academic inquiry. It offers practical insights into the myriad ways AI can revolutionize academic pursuits. This book extends beyond theoretical discussions, delving into practical dimensions of AI integration, demonstrating how it facilitates topic identification, refines research design, empowers data analysis, and enriches literature reviews. Readers will explore AI's indispensable role in precise hypothesis development, enhancing the very foundation of academic inquiry. The book introduces AI-powered tools that streamline writing and editing, ensuring research papers meet the highest standards of clarity and correctness. Ethical considerations in AI-integrated research take center stage, emphasizing responsible and transparent practices. This book is ideal for doctoral candidates, master's students, undergraduates, or seasoned faculty members. |
| examples of ai writing: The Myth of Artificial Intelligence Erik J. Larson, 2021-04-06 “Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own. |
| examples of ai writing: Pharmako-AI K. Allado-McDowell, 2020 This book collects essays, stories, and poems ... [the author] wrote with OpenAI's GPT-3 language model, a neural net that generates text sequences--Page xi. |
| examples of ai writing: The Castle in the Sea Mardi McConnochie, 2019-06-14 It’s been months since their father, Spinner, disappeared after the Admiralty tore apart his workshop and sent him into hiding, but Annalie and Will are determined to find him, whatever the cost. With the help of new friends Essie and Pod (and talking parrot, Graham), the siblings use the decoded clues Spinner left behind to track his movements, sailing around the world in search of his old scientific colleagues. But the Admiralty is still in hot pursuit, and the sea might be the biggest threat of all. As the children battle massive storms, menacing marines, and pirates out to steal anything (and anyone) they can, the twins and their friends discover new levels of strength, determination, and ingenuity within themselves. They also begin to wonder if they’ll ever catch up to Spinner, or if the dangers they encounter along the way will seal their fates first. |
| examples of ai writing: Artificial Intelligence in Medicine David Riaño, Szymon Wilk, Annette ten Teije, 2019-06-19 This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning. |
| examples of ai writing: Artificial Intelligence in Behavioral and Mental Health Care David D. Luxton, 2015-09-10 Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings |
| examples of ai writing: Artificial Intelligence in Society OECD, 2019-06-11 The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises. |
| examples of ai writing: The Bestseller Code Matthew Jockers, Jodie Archer, 2016-09-13 What if an algorithm could predict which manuscripts would become mega-bestsellers? Girl on the Train. Fifty Shades. The Goldfinch. Why do some books capture the whole world's attention? What secret DNA do they share? In The Bestseller Code, Archer and Jockers boldly claim that blockbuster hits are highly predictable, and they have created the algorithm to prove it. Using cutting-edge text mining techniques, they have developed a model that analyses theme, plot, style and character to explain why some books resonate more than others with readers. Provocative, entertaining, and ground-breaking, The Bestseller Code explores the hidden patterns at work in the biggest hits and, more importantly, the real reasons we love to read. |
| examples of ai writing: The Mystics of Mile End Sigal Samuel, 2015-10-13 Sigal Samuel’s debut novel, in the vein of Nicole Krauss’s bestselling The History of Love, is an imaginative story that delves into the heart of Jewish mysticism, faith, and family. “This is not an ordinary tree I am making. “This,” he said, “this is the Tree of Knowledge.” In the half-Hasidic, half-hipster Montreal neighborhood of Mile End, eleven-year-old Lev Meyer is discovering that there may be a place for Judaism in his life. As he learns about science in his day school, Lev begins his own extracurricular study of the Bible’s Tree of Knowledge with neighbor Mr. Katz, who is building his own Tree out of trash. Meanwhile his sister Samara is secretly studying for her Bat Mitzvah with next-door neighbor and Holocaust survivor, Mr. Glassman. All the while his father, David, a professor of Jewish mysticism, is a non-believer. When, years later, David has a heart attack, he begins to believe God is speaking to him. While having an affair with one of his students, he delves into the complexities of Kabbalah. Months later Samara, too, grows obsessed with the Kabbalah’s Tree of Life—hiding her interest from those who love her most–and is overcome with reaching the Tree’s highest heights. The neighbors of Mile End have been there all along, but only one of them can catch her when she falls. |
| examples of ai writing: AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and Java George F. Luger, William A. Stubblefield, 2009 |
| examples of ai writing: Business Trends in Practice Bernard Marr, 2021-11-15 WINNER OF THE BUSINESS BOOK OF THE YEAR AWARD 2022! Stay one step ahead of the competition with this expert review of the most impactful and disruptive business trends coming down the pike Far from slowing down, change and transformation in business seems to come only at a more and more furious rate. The last ten years alone have seen the introduction of groundbreaking new trends that pose new opportunities and challenges for leaders in all industries. In Business Trends in Practice: The 25+ Trends That Are Redefining Organizations, best-selling business author and strategist Bernard Marr breaks down the social and technological forces underlying these rapidly advancing changes and the impact of those changes on key industries. Critical consumer trends just emerging today—or poised to emerge tomorrow—are discussed, as are strategies for rethinking your organisation’s product and service delivery. The book also explores: Crucial business operations trends that are changing the way companies conduct themselves in the 21st century The practical insights and takeaways you can glean from technological and social innovation when you cut through the hype Disruptive new technologies, including AI, robotic and business process automation, remote work, as well as social and environmental sustainability trends Business Trends in Practice: The 25+ Trends That Are Redefining Organizations is a must-read resource for executives, business leaders and managers, and business development and innovation leads trying to get – and stay – on top of changes and disruptions that are right around the corner. |
| examples of ai writing: AI in Language Teaching, Learning, and Assessment Pan, Fang, 2024-02-12 The introduction of Artificial Intelligence (AI) has ignited a fervent academic discourse. AI's role is as both a powerful ally and a potential adversary in education. For instance, ChatGPT is a generative AI which mimics human conversation with impressive precision. Its capabilities span the educational spectrum, from answering questions and generating essays to composing music and coding. Yet, as with any innovation, its advent has sparked a spirited academic dialogue. AI in Language Teaching, Learning, and Assessment seeks to address these concerns with rigor and thoughtfulness. It explores the undeniable drawbacks of AI in language education and offers strategic insights into their prevention. It scrutinizes the resources and safeguards required to ensure the ethical and secure integration of AI in academic settings. This book lays out the multifaceted benefits of incorporating AI into language teaching, learning, and assessment. Its chapters dissect the transformative impact of AI on pedagogy, teaching materials, assessment methodologies, applied linguistics, and the broader landscape of language education development. This book is a valuable resource for language learners, educators, researchers, and scholars alike. It beckons to those who are keen on exploring and implementing AI in education, as well as AI developers and experts seeking to bridge the chasm between technology and language education. |
| examples of ai writing: Artificial Intellligence in Social Media Introbooks, 2020-04-07 Artificial Intelligence has revolutionized and transformed Social Media in many innovative ways. With around 3 billion people connected to various social media platforms, they are generating a huge mass of data. Now the question is, Why should social media be concerned about all this data floating around? The answer to this question is that this 'meta - data' is of great value to social media platforms.One reason is that the social networks can keep themselves relevant with times only if they keep themselves abreast about the needs, wants and choices of the users from multiple geographical locations. Another reason is that they get to monetize this information when they share their platforms with advertisers and marketers. AI is one single solution for both these scenarios. |
| examples of ai writing: Artificial Intelligence Stuart Russell, Peter Norvig, 2016-09-10 Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. |
Welcome to the 50 ChatGPT Prompts for Writing! - Skillshare
This is a collection of prompt examples to be used with the ChatGPT model to help you get the most out of this powerful platform. In this repository, you will find a variety of prompts that can …
AI and Teaching Writing - Stanford Accelerator for Learning
In recent years, artificial intelligence (AI) has made significant advances in its ability to generate text. For example, OpenAI's GPT-3 algorithm is capable of generating realistic-sounding news …
AI Writing in Academics - San José State University
What are acceptable and unacceptable uses of AI in academic writing? • Use AI to brainstorm and help you get started. Feed it prompts about topics you want to write about.
How to Write an Effective Generative AI Prompt - Germanna
Generative Artificial Intelligence (GenAI) is a helpful educational tool. It is important to note that there are steps involved in composing effective prompts that optimize productive output …
WHAT IS ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGY?
Artificial Intelligence (AI) technology refers to the development and implementation of computational systems that possess the ability to perform tasks that typically require human …
AI Prompt Examples Handout - info.writetheworld.org
AI Prompt Examples. Writing Feedback. Translation/Cultural Support. Audience-specific Feedback. 1. How can I improve the use of [imagery] in my poem? 2. Are there any …
AI-based Writing Tools: Empowering Students to Achieve …
Mar 21, 2024 · This section provides an overview of several typical AI-based writing tools, discussing their features and demonstrated effectiveness in enhancing students writing abilities.
A List of Current AI Writing Tools - Harvard University
Humata: Humata promises the usual AI generated writing, and also that you can upload a document or a series of documents and ask questions about it. In the paid version, it promises …
The use of artificial intelligence (AI) in thesis writing
page 25 Dr. Franziska Klatt | Use of artificial intelligence in thesis writing | May 2023 In-Text-Citation (Originator of communication, medium, Date Month, Year)
AI Prompt Writing Guide for Educators last - AI-for …
This guide presents some simple examples of what LLMs can do and strategies you can use to get what you need when using them, particularly through improving your prompts. It also …
AI and Teaching Writing, Working Paper #3 - Stanford …
Many examples of GPT-3 writing are presented as AI writing at a human level, since that attracts attention. However, in each case, the details show that one or more people played the roles …
Engaging with Artificial Intelligence in Research and Writing
“AI, shorthand for artificial intelligence, defines technologies emerging today that can understand, learn, and then act based on that information.” (PWC, 2017, p. 2) “AI generally refers to the …
HOW TO DEAL WITH AI-POWERED WRITING TOOLS IN …
Due to the advances of artificial intelligence (AI) and natural language processing, new AI-powered writing tools have emerged. They can be used by students among other things for …
AI Use: Sample Statements & Reference Citations - Chadron …
AI Use: Sample Statements & Reference Citations The following statements include examples of language that may be adapted for use in course syllabi, class policies, or lesson instructions.
Using Artificial Intelligence for Essay Writing - English Journal
Generative Artificial Intelligence is seen as a tool that can assist teachers and students in academics such as generating ideas, evaluating essays, storytelling, and providing feedback. It …
The Role of Artificial Intelligence in Scientific Writing - CHEST
One early example of AI in scientific writing is the use of machine learning algorithms to summarize scientific papers. In this application, AI systems are trained on large datasets of …
Using AI to Implement Effective Teaching Strategies in …
Below, we discuss the background of each instructional strategy and provide guidance and examples for how to have the AI help instructors implement each strategy. There are a variety …
Supercharging academic writing with generative AI: …
AI assistance in writing, represented through a model of writing-assistance types and levels. Building on this framework, we describe effective prompting techniques for incorporating AI into …
A Framework for Designing Assignments in the Age of AI
Use AI in an assignment to help you meet a teaching goal. AI could potentially be used to understand the conventional discourse on a topic, to generate case studies, to support data …
Meta-Writing: AI and Writing - Composition Studies
Artificial intelligence (AI) has become increasingly prevalent in the field of writing, with numerous applications and tools available to assist writers in various aspects of the writing process. …
Welcome to the 50 ChatGPT Prompts for Writing! - Skillshare
This is a collection of prompt examples to be used with the ChatGPT model to help you get the most out of this powerful platform. In this repository, you will find a variety of prompts that can …
AI and Teaching Writing - Stanford Accelerator for Learning
In recent years, artificial intelligence (AI) has made significant advances in its ability to generate text. For example, OpenAI's GPT-3 algorithm is capable of generating realistic-sounding news …
AI Writing in Academics - San José State University
What are acceptable and unacceptable uses of AI in academic writing? • Use AI to brainstorm and help you get started. Feed it prompts about topics you want to write about.
How to Write an Effective Generative AI Prompt - Germanna
Generative Artificial Intelligence (GenAI) is a helpful educational tool. It is important to note that there are steps involved in composing effective prompts that optimize productive output …
WHAT IS ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGY?
Artificial Intelligence (AI) technology refers to the development and implementation of computational systems that possess the ability to perform tasks that typically require human …
AI Prompt Examples Handout - info.writetheworld.org
AI Prompt Examples. Writing Feedback. Translation/Cultural Support. Audience-specific Feedback. 1. How can I improve the use of [imagery] in my poem? 2. Are there any …
AI-based Writing Tools: Empowering Students to Achieve …
Mar 21, 2024 · This section provides an overview of several typical AI-based writing tools, discussing their features and demonstrated effectiveness in enhancing students writing abilities.
A List of Current AI Writing Tools - Harvard University
Humata: Humata promises the usual AI generated writing, and also that you can upload a document or a series of documents and ask questions about it. In the paid version, it promises …
The use of artificial intelligence (AI) in thesis writing
page 25 Dr. Franziska Klatt | Use of artificial intelligence in thesis writing | May 2023 In-Text-Citation (Originator of communication, medium, Date Month, Year)
AI Prompt Writing Guide for Educators last - AI-for …
This guide presents some simple examples of what LLMs can do and strategies you can use to get what you need when using them, particularly through improving your prompts. It also …
AI and Teaching Writing, Working Paper #3 - Stanford …
Many examples of GPT-3 writing are presented as AI writing at a human level, since that attracts attention. However, in each case, the details show that one or more people played the roles …
Engaging with Artificial Intelligence in Research and Writing
“AI, shorthand for artificial intelligence, defines technologies emerging today that can understand, learn, and then act based on that information.” (PWC, 2017, p. 2) “AI generally refers to the …
HOW TO DEAL WITH AI-POWERED WRITING TOOLS IN …
Due to the advances of artificial intelligence (AI) and natural language processing, new AI-powered writing tools have emerged. They can be used by students among other things for …
AI Use: Sample Statements & Reference Citations - Chadron …
AI Use: Sample Statements & Reference Citations The following statements include examples of language that may be adapted for use in course syllabi, class policies, or lesson instructions.
Using Artificial Intelligence for Essay Writing - English Journal
Generative Artificial Intelligence is seen as a tool that can assist teachers and students in academics such as generating ideas, evaluating essays, storytelling, and providing feedback. It …
The Role of Artificial Intelligence in Scientific Writing - CHEST
One early example of AI in scientific writing is the use of machine learning algorithms to summarize scientific papers. In this application, AI systems are trained on large datasets of …
Using AI to Implement Effective Teaching Strategies in …
Below, we discuss the background of each instructional strategy and provide guidance and examples for how to have the AI help instructors implement each strategy. There are a variety …
Supercharging academic writing with generative AI: …
AI assistance in writing, represented through a model of writing-assistance types and levels. Building on this framework, we describe effective prompting techniques for incorporating AI into …
A Framework for Designing Assignments in the Age of AI
Use AI in an assignment to help you meet a teaching goal. AI could potentially be used to understand the conventional discourse on a topic, to generate case studies, to support data …
