Download or read book ALGORITHMS AND BRAINS A JOURNEY THROUGH AI Building the Future written by Asomoo.Net and published by Asomoo.Net. This book was released on with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: ALGORITHMS AND BRAINS A JOURNEY THROUGH AI Building the Future Dive into the fascinating world of artificial intelligence with our latest book! Discover how this technology is transforming industries, from medicine to automotive, and how it is shaping the future of humanity. In "Artificial Intelligence: Exploring the Future", we unravel the key concepts of AI in an accessible and exciting way. From deep learning algorithms to practical applications in everyday life, this book will guide you through an exciting journey through the power and potential of artificial intelligence. Don't miss the opportunity to purchase this essential book! Become an AI expert and prepare to face the challenges and seize the opportunities of the digital age. Buy now and start exploring the future today! ------------------------------------------------------------------------------------------------------------------------------------------------ Autonomous robotics for warehouse logistics;Personalized recommendation systems based on AI for streaming platforms;Predictive analysis of industrial maintenance with IoT sensors and machine learning
Download or read book Automate This written by Christopher Steiner and published by Penguin. This book was released on 2012-08-30 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rousing story of the last gasp of human agency and how today’s best and brightest minds are endeavoring to put an end to it. It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their creators ever expected. In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge. The May 2010 “Flash Crash” exposed Wall Street’s reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. But that was just the beginning. In Automate This, we meet bots that are driving cars, penning haiku, and writing music mistaken for Bach’s. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? What happens to businesses when we automate judgment and eliminate human instinct? And what role will be left for doctors, lawyers, writers, truck drivers, and many others? Who knows—maybe there’s a bot learning to do your job this minute.
Download or read book Algorithm Of Mind Brain written by Akash Gopal Bagade and published by kitab writing publication. This book was released on 2024-02-27 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ever wondered about the secrets of your brain's inner workings? We're diving deep into the dance of neurons, the evolution of thoughts, and the mind-blowing concept of neuroplasticity. Get ready to uncover the blueprint of your consciousness. ALGORITHM OF MIND & BRAIN 2. Neural Symphony: Hardware and Software: From the building blocks of neurons to the sophisticated algorithms driving your thoughts, we're laying bare the hardware and software of your mind. Explore the circuits, dive into memory algorithms, and understand how your brain orchestrates the symphony of perception, emotions, and decision-making. 3. Mind-Brain Duo in Action: Witness the dynamic duo of mind and brain in action. We're talking about embodied cognition, brain-computer interfaces that sound like sci-fi but are very real, and the fascinating interplay between societal dynamics and our neural networks. 4. Boosting Brain Power: Who doesn't want a turbocharged brain? We've got practical tips for optimizing your cognitive performance, from brain health and cognitive training to stress management and the vital link between physical and mental well-being. 5. Futuristic Frontiers: Fasten your seatbelt as we gaze into the crystal ball of neuroscience. Imagine brain-machine interfaces, the ethics of artificial intelligence, and the mind-bending possibilities of quantum mind. The future is now, and we're diving headfirst into it. 6. The Journey Ahead: Mindful Living and Beyond: But wait, there's more! Join us on the journey ahead, where mindfulness, resilience, and positive thinking become your travel companions. We're not just exploring the brain; we're uncovering the philosophy of consciousness, free will, and the ethics of enhancing our minds. 7. A Tapestry of Insight: "Algorithm of Mind and Brain" isn't your typical book; it's a rich tapestry woven with 150 illuminating points. From the neuroscience of art to the impact of culture on mental health, this book paints a holistic picture of the mind's vast terrain. 8. Your Mind's Potential: The Grand Finale: As you flip through these pages, imagine unlocking the limitless potential of your mind. Picture a future where brain-machine interfaces are everyday tools, and ethical AI is a guiding principle. "Algorithm of Mind and Brain" is not just a book; it's your guide to envisioning the incredible possibilities that lie within you. Get ready for a ride that's part scientific exploration, part philosophical thinking, and all about discovering the marvels of your own mind. Are you ready to dive in? Let the adventure begin.
Download or read book Thinking Machines written by Luke Dormehl and published by Penguin. This book was released on 2017-03-07 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fascinating look at Artificial Intelligence, from its humble Cold War beginnings to the dazzling future that is just around the corner. When most of us think about Artificial Intelligence, our minds go straight to cyborgs, robots, and sci-fi thrillers where machines take over the world. But the truth is that Artificial Intelligence is already among us. It exists in our smartphones, fitness trackers, and refrigerators that tell us when the milk will expire. In some ways, the future people dreamed of at the World's Fair in the 1960s is already here. We're teaching our machines how to think like humans, and they're learning at an incredible rate. In Thinking Machines, technology journalist Luke Dormehl takes you through the history of AI and how it makes up the foundations of the machines that think for us today. Furthermore, Dormehl speculates on the incredible--and possibly terrifying--future that's much closer than many would imagine. This remarkable book will invite you to marvel at what now seems commonplace and to dream about a future in which the scope of humanity may need to broaden itself to include intelligent machines.
Download or read book A Human Algorithm written by Flynn Coleman and published by Catapult. This book was released on 2019-10-01 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A groundbreaking narrative on the urgency of ethically designed AI and a guidebook to reimagining life in the era of intelligent technology. The Age of Intelligent Machines is upon us, and we are at a reflection point. The proliferation of fast–moving technologies, including forms of artificial intelligence akin to a new species, will cause us to confront profound questions about ourselves. The era of human intellectual superiority is ending, and we need to plan for this monumental shift. A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socioeconomic world order, also have the potential to transform our health and well–being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. International human rights attorney Flynn Coleman deftly argues that it is critical that we instill values, ethics, and morals into our robots, algorithms, and other forms of AI. Equally important, we need to develop and implement laws, policies, and oversight mechanisms to protect us from tech’s insidious threats. To realize AI’s transcendent potential, Coleman advocates for inviting a diverse group of voices to participate in designing our intelligent machines and using our moral imagination to ensure that human rights, empathy, and equity are core principles of emerging technologies. Ultimately, A Human Algorithm is a clarion call for building a more humane future and moving conscientiously into a new frontier of our own design. “[Coleman] argues that the algorithms of machine learning––if they are instilled with human ethics and values––could bring about a new era of enlightenment.” —San Francisco Chronicle
Download or read book Wired for Thought written by Jeffrey M. Stibel and published by Harvard Business Press. This book was released on 2009 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet is more than just a series of interconnected computer networks: it's the first real replication of the human brain outside the human body. To leverage its power, you first need to understand how the Internet has evolved to take on similarities to the brain. This engaging and provocative book provides the answer.
Download or read book AI Wrote This written by Jenn R Tiv and published by Independently Published. This book was released on 2024-04-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the incredible world of artificial intelligence (AI) with this enlightening and engaging book, perfectly crafted for young minds eager to understand the digital future! "AI Wrote This!" takes readers on an exciting journey through the fundamentals of AI, explaining complex concepts with simplicity and a dash of fun. From the basics of algorithms-akin to baking recipes for computers-to the intricate processes of machine learning, this book breaks down how AI functions using relatable analogies and lively illustrations. Learn how AI has evolved from simple computational tasks to beating world chess champions, and explore the realms of generative AI that creates stunningly realistic texts, images, and music. Written with the help of AI itself, this book not only teaches about AI's capabilities but also delves into important ethical considerations. It prompts readers to think about AI bias, the importance of data privacy, and the ethical use of AI in creating content. Each chapter is designed to spark curiosity and encourage critical thinking, helping young readers navigate the complex but fascinating world of artificial intelligence. But it's not all serious-there's plenty of fun too! Engage with interactive prompts and experiments that allow kids to experience AI firsthand. From organizing bookshelves using algorithms to understanding how AI can be tricked or make mistakes, this book provides a hands-on approach to learning. Whether it's creating cool art, solving puzzles, or understanding the impact of AI on our daily lives, "AI Wrote This!" is an essential guide for the next generation of scientists, creators, and ethical thinkers. Dive into this book and prepare to be amazed by what AI can do-and what it means for our future.
Download or read book Preparing for the Future of Artificial Intelligence written by Committee on Technology National Science and Technology Council, Committee on Technology and published by Createspace Independent Publishing Platform. This book was released on 2016-10-30 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.
Download or read book The Mindful Machine written by Instabooks Ai and published by Independently Published. This book was released on 2023-12-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the thrilling world of assistant neural networks with 'The Mindful Machine: Exploring Assistant Neural Networks'. This book stands at the intersection of technology and intelligence, inviting readers to explore the sophisticated realm where artificial minds assist human ones. Whether you're a novice programmer, a seasoned data scientist, or simply curious about the future of AI, this book caters to all knowledge levels, illuminating the complexity of neural networks in an accessible manner. Spanning 12 comprehensive chapters, 'The Mindful Machine' embarks on a systematic journey through the code that powers these assistant neural networks. Discover the fascinating algorithms giving rise to machine 'thought' and how these artificial intellects are designed to enhance our daily lives. As you progress from the basics of neural network architecture to advanced implementation strategies, this book serves as your mentor, unlocking the black box of AI. Join the vanguard of AI innovation and embrace the potential of assistant neural networks with 'The Mindful Machine'. Table of Contents 1. The Dawn of Digital Assistants - The Evolution of AI: From ELIZA to Siri - Understanding Neural Networks: The Brains Behind the Code - Assistant Neural Networks in Daily Life: Overview and Examples 2. Imprinting Intelligence: Training Neural Networks - Data as the Foundation: Collecting and Preparing for Training - The Art of Learning: Algorithms and Approaches - Optimization Techniques: Refining Intelligence 3. Conversing with Code: Natural Language Processing - NLP Fundamentals: Teaching Machines to Understand Us - From Syntax to Sentiment: Advancements in Language AI - Chatbots and More: Practical Applications of NLP 4. The Interface of Interaction: Designing User Experience - Empathetic Algorithms: Creating Relatable Assistants - Voice and Visuals: Crafting the Assistant's Persona - Usability and Accessibility: Design Principles for Inclusion 5. Brains Talking to Brains: IoT and Neural Networks - The Networked World: An Introduction to IoT - Integrating with IoT: Neural Networks as the Nervous System - Case Studies: Smart Homes and Beyond 6. Ethical Code: The Morality of Machine Intelligence - The Responsibility of Creation: AI and Ethics - Bias and Fairness: Building Equitable Neural Networks - Future Concerns: Privacy and Autonomy 7. Interdisciplinary Insights: Neural Networks Across Fields - Health Care: Diagnostic Assistants - Finance: Risk Analysis and Fraud Detection - Creative AI: Music, Art, and Literature 8. Advanced Architectures: Exploring Deep Learning - Diving Deep: An Exploration of Deep Neural Networks - Convolutional and Recurrent Neural Networks: A Deeper Look - The Cutting Edge: Latest Advancements and Innovations 9. Realizing Reliability: Performance and Scaling - Measuring Intelligence: Metrics and Benchmarks - Scaling Up: Managing Large-Scale Neural Networks - Performance Tuning: Keeping Your Neural Network in Top Condition 10. Tales of Transformation: Success Stories and Failures - Triumphs of Technology: Case Studies of Success - Lessons Learned: Analyzing AI Mishaps - Overcoming Obstacles: Resilience in AI Development 11. Beyond Coding: Philosophical Questions in AI - Can Machines Think?: Pondering the Possibilities of AI Consciousness - AI in Society: The Impact of Neural Network Assistants - The Future of Human-Machine Interaction: What Lies Ahead 12. The Neural Network Toolbox: Resources for Learning and Development - Libraries and Frameworks: A Developer's Best Friends - Communities and Conferences: Engaging with the AI Ecosystem - Further Reading: Books, Journals, and Online Courses
Download or read book A Course in Machine Learning written by H Daume and published by . This book was released on 2023-08-20 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on an exhilarating journey into the realm of modern technological marvels with this comprehensive guide. Unveil the power of algorithms that can discern patterns in vast troves of data, opening doors to innovation and insight. Whether you're a tech enthusiast, a curious mind, or a seasoned programmer, "A Course in Machine Learning" invites you to demystify the enigmatic world of AI and data science. Within these pages, you'll unravel the intricacies of machine learning, guided by a seasoned expert who brings theory to life with real-world examples. Explore the algorithms that lie at the heart of self-driving cars, virtual assistants, and predictive analytics. Through hands-on exercises, sharpen your skills in creating intelligent systems that adapt and learn from experience. Dive into the realm of neural networks and deep learning, where layers of interconnected neurons mimic the human brain's astonishing capabilities. Grasp the art of feature engineering and data preprocessing to distill meaningful insights from noisy data. With step-by-step tutorials, you'll seamlessly transition from theory to practice, developing models that can decipher handwritten text, identify objects in images, and even predict future trends. Unlock the potential of unsupervised learning and reinforcement learning, letting algorithms uncover hidden patterns and optimize decision-making processes. From healthcare to finance, from entertainment to agriculture, the applications of machine learning are limitless. Gain the confidence to tackle real-world challenges and harness the power of data to transform industries and shape the future. Join the ranks of innovators who are reshaping our world through machine learning's unprecedented possibilities. Whether you're a student, a professional, or simply an inquisitive mind, "A Course in Machine Learning" equips you with the tools to unravel the complexities of AI and build a future that's driven by intelligence and imagination. Experience the thrill of discovery as you journey through these pages, guided by the wisdom of a true trailblazer in the field.
Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book The Alignment Problem Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
Download or read book Designing Autonomous AI written by Kence Anderson and published by "O'Reilly Media, Inc.". This book was released on 2022-06-14 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
Download or read book Rebooting AI written by Gary Marcus and published by Vintage. This book was released on 2019-09-10 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
Download or read book Artificial Intelligence A New Synthesis written by Nils J. Nilsson and published by Elsevier. This book was released on 1998-04-17 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent agents are employed as the central characters in this introductory text. Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI. Neural networks, genetic programming, computer vision, heuristic search, knowledge representation and reasoning, Bayes networks, planning, and language understanding are each revealed through the growing capabilities of these agents. A distinguishing feature of this text is in its evolutionary approach to the study of AI. This book provides a refreshing and motivating synthesis of the field by one of AI's master expositors and leading researches. An evolutionary approach provides a unifying theme Thorough coverage of important AI ideas, old and new Frequent use of examples and illustrative diagrams Extensive coverage of machine learning methods throughout the text Citations to over 500 references Comprehensive index
Download or read book The Artist in the Machine written by Arthur I. Miller and published by MIT Press. This book was released on 2020-11-10 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Road Ahead written by Bill Gates and published by Penguin Group. This book was released on 1996 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this clear-eyed, candid, and ultimately reassuring
