Download or read book Algorithms to Live By written by Brian Christian and published by Macmillan. This book was released on 2016-04-19 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Algorithms to Live By' looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind.
Download or read book A Human Algorithm written by Flynn Coleman and published by Catapult. This book was released on 2020-10-20 with total page 337 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 Algorithm of the Mind written by Stanislav Tregub and published by STANISLAV TREGUB. This book was released on 2020-08-08 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on a clear physical definition of the Mind given in the previous volume of the “Symphony of Matter and Mind” series, the author begins to formulate a unified concept of the Brain and Mind which will be developed in this and subsequent volumes. All mental phenomena, from basic sensory-motor to higher abstract-verbal, are the result of neural encoding of the external world signals and internal bodily signals into representations constituting the model of reality for the purpose of controlling the body and adapting to this reality. Thus, any theory of the brain faces the question of the nature of the neural code which could explain the observed speed and efficiency, scope and complexity of the computational process that we call the Mind. The mainstream theories of neuroscience that consider neural activity as trains of discrete identical spikes (various firing rate coding and temporal coding models) contradict the reality of the information density of neural computing. That is why, despite huge efforts by generations of researchers, this approach did not lead to deciphering the neural code. We know the details of the neural processes down to the molecular level but the brain remains a ‘black box’ that we cannot read. It is the outcome of the wrong theoretical assumption that should be revised. The author creates the concept of a neural code that overcomes the shortcomings of old models. There is another problem that cannot be avoided by any theory of consciousness. It is not enough to say that the brain creates the psyche as this leaves an explanatory gap. We need to show how this physiological system generates mental phenomena physically. The Mind is a technological process that works according to a certain algorithm based on physical laws. The author’s theory offers a fundamentally new approach to the nervous system that bridges physiology and psychology by illuminating the algorithm and the physics of the Mind from the intracellular to the system-wide level.
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 The Master Algorithm written by Pedro Domingos and published by Basic Books. This book was released on 2015-09-22 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recommended by Bill Gates A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.
Download or read book Algorithmic Thinking written by Daniel Zingaro and published by No Starch Press. This book was released on 2020-12-15 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies The heap data structure to determine the amount of money given away in a promotion The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?
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 The Intuitive Algorithm written by Abraham Thomas and published by . This book was released on 2004 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Circuits of the Mind written by Leslie G. Valiant and published by Oxford University Press, USA. This book was released on 2000 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: While embracing the now classical theories of McCulloch and Pitts, the neuroidal model also accommodates state information in the neurons, more flexible timing mechanisms, a variety of assumptions about interconnectivity, and the possibility that different brain areas perform specialized functions. Programmable so that a wide range of algorithmic theories can be described and evaluated, the model provides a concrete computational language and a unified framework in which diverse cognitive phenomena - such as memory, learning, and reasoning - can be systematically and concurrently analyzed. Requiring no specialized knowledge, Circuits of the Mind masterfully offers an exciting new approach to brain science for students and researchers in computer science, neurobiology, neuroscience, artificial intelligence, and cognitive science.
Download or read book The Digital Mind written by Arlindo Oliveira and published by MIT Press. This book was released on 2018-03-09 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: How developments in science and technology may enable the emergence of purely digital minds—intelligent machines equal to or greater in power than the human brain. What do computers, cells, and brains have in common? Computers are electronic devices designed by humans; cells are biological entities crafted by evolution; brains are the containers and creators of our minds. But all are, in one way or another, information-processing devices. The power of the human brain is, so far, unequaled by any existing machine or known living being. Over eons of evolution, the brain has enabled us to develop tools and technology to make our lives easier. Our brains have even allowed us to develop computers that are almost as powerful as the human brain itself. In this book, Arlindo Oliveira describes how advances in science and technology could enable us to create digital minds. Exponential growth is a pattern built deep into the scheme of life, but technological change now promises to outstrip even evolutionary change. Oliveira describes technological and scientific advances that range from the discovery of laws that control the behavior of the electromagnetic fields to the development of computers. He calls natural selection the ultimate algorithm, discusses genetics and the evolution of the central nervous system, and describes the role that computer imaging has played in understanding and modeling the brain. Having considered the behavior of the unique system that creates a mind, he turns to an unavoidable question: Is the human brain the only system that can host a mind? If digital minds come into existence—and, Oliveira says, it is difficult to argue that they will not—what are the social, legal, and ethical implications? Will digital minds be our partners, or our rivals?
Download or read book A Human s Guide to Machine Intelligence written by Kartik Hosanagar and published by Penguin. This book was released on 2020-03-10 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.
Download or read book Designing with the Mind in Mind written by Jeff Johnson and published by Elsevier. This book was released on 2013-12-17 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this completely updated and revised edition of Designing with the Mind in Mind, Jeff Johnson provides you with just enough background in perceptual and cognitive psychology that user interface (UI) design guidelines make intuitive sense rather than being just a list or rules to follow. Early UI practitioners were trained in cognitive psychology, and developed UI design rules based on it. But as the field has evolved since the first edition of this book, designers enter the field from many disciplines. Practitioners today have enough experience in UI design that they have been exposed to design rules, but it is essential that they understand the psychology behind the rules in order to effectively apply them. In this new edition, you'll find new chapters on human choice and decision making, hand-eye coordination and attention, as well as new examples, figures, and explanations throughout. Provides an essential source for user interface design rules and how, when, and why to apply them Arms designers with the science behind each design rule, allowing them to make informed decisions in projects, and to explain those decisions to others Equips readers with the knowledge to make educated tradeoffs between competing rules, project deadlines, and budget pressures Completely updated and revised, including additional coverage on human choice and decision making, hand-eye coordination and attention, and new mobile and touch-screen examples throughout
Download or read book The Emperor s New Mind written by Roger Penrose and published by Oxford Paperbacks. This book was released on 1999-03-04 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the Wolf Prize for his contribution to our understanding of the universe, Penrose takes on the question of whether artificial intelligence will ever approach the intricacy of the human mind. 144 illustrations.
Download or read book Shadows of the Mind written by Roger Penrose and published by Oxford University Press, USA. This book was released on 1994 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the author's thesis that consciousness, in its manifestation in the human quality of understanding, is doing something that mere computation cannot; and attempts to understand how such non-computational action might arise within scientifically comprehensive physical laws.
Download or read book Clever Algorithms written by Jason Brownlee and published by Jason Brownlee. This book was released on 2011 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.
Download or read book Introduction to Algorithms third edition written by Thomas H. Cormen and published by MIT Press. This book was released on 2009-07-31 with total page 1313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.
Download or read book Algorithmic Thinking for Adventurous Minds written by Raymond Xu and published by . This book was released on 2021-03-05 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about how to work smart to avoid unnecessary work. Algorithmic thinking is about identifying the most efficient steps to solve a seemingly complex problem without detouring. It is a necessary skill for future jobs. Through a magical lens, CalliLens, you will observe abstraction and recognize patterns in the Land of Apple Pi. The authors, along with Python, transform into the main characters, the BestFour. They will accompany you through each challenge, naturally come up with the solution steps, and master algorithmic thinking without you forcefully knowing it. The authors have been teaching CS and USA Computing Olympiad (USACO) classes since 2016 and formed their unique approach to engaging with both visual learners and reading/writing learners. The rigid concepts like Fibonacci, graph, recursion, queue, stack, Greedy, Dynamic Programming, Prim, Kruskal, Dijkstra, BFS, DFS are expressed in visualizations, graphs, miniature poems, and fun facts. Oh, if coding is coffee, the flowchart will be the coffee mate. You will receive a good taste of "coffee" and "coffee mate" from this book. Both children and parents are welcome to the adventure. The only prerequisite is to keep an open mind and open eyes. If you don't know coding yet, flowcharts are your friendly starting point. What? Some of you say that you want to dive into coding? Alright, Python code and Pygames are a bonus for you to craft your programming skills.
