Algorithms to Live By PDF Download

Author: Brian Christian
Publisher: Macmillan
ISBN: 1627790365
Category : Business & Economics
Languages : en
Pages : 366

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Book Description
'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.

Author: Flynn Coleman
Publisher: Catapult
ISBN: 1640094288
Category : Computers
Languages : en
Pages : 337

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Book Description
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

Author: Albert Rutherford
Publisher:
ISBN:
Category :
Languages : en
Pages : 119

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Book Description
Think creatively like a human. Analyze and solve problems efficiently like a computer. Our everyday lives are filled with inefficient and ineffective decisions and solutions. Being overwhelmed by the magnitude of our problems makes it hard to think clearly. We procrastinate and overthink. Our thoughts are tainted with biases. If only there was a way to simplify our decision-making and problem-solving process and get satisfying, consistent results! The good news is, there is! Apply computer algorithms to your everyday problems. Learn what algorithms are and use them for better decision-making, problem-solving, and staying on track with your plans. Become more productive, organized, finish what you start, and make better decisions. If you feel that you're not living up to your potential, struggle with being consistent about your habits, and would like to make quicker and better decisions, this book is for you! Get things started immediately and finish them within your deadline. Thinking in Algorithms presents research and scientific studies on behavioral economics, cognitive science, and neuropsychology about what constitutes a great decision, what are and how to manage its roadblocks. This is an interdisciplinary work that will help you learn how to apply computer algorithm-based solutions to your life challenges. Know when to stop. Be efficient with your time and energy. Albert Rutherford is an internationally bestselling author whose writing derives from various sources, such as research, coaching, academic and real-life experience. Machine learning principles for the laymen. - Learn to build your own problem-solving algorithms using a unique formula. - The science of optimal stopping. - How to overcome procrastination and overthinking using algorithms. Help your emotional, biased brain to make more rational and predictable decisions and follow through plans using algorithm-based problem-solving today! Not convinced yet? Check out the look inside feature of this book hitting the top left corner of this page and read the first pages for free!

Author: Brian Christian
Publisher: W. W. Norton & Company
ISBN: 039363583X
Category : Science
Languages : en
Pages : 459

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Book Description
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.

Author: Antonin Tuynman
Publisher: John Hunt Publishing
ISBN: 1785356712
Category : Computers
Languages : en
Pages : 169

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Book Description
How do we understand the world around us? How do we solve problems? Often the answer to these questions follows a certain pattern, an algorithm if you wish. This is the case when our analytical left-brain side is at work. However, there are also elements in our behaviour where intelligence appears to follow a more elusive path, which cannot easily be characterised as a specific sequence of steps. Is Intelligence an Algorithm? offers an insight into intelligence as it functions in nature, like human or animal intelligence, but also sheds light on modern developments in the field of artificial intelligence, proposing further architectural solutions for the creation of a so-called global Webmind.

Author: Akash Gopal Bagade
Publisher: kitab writing publication
ISBN: 9360923710
Category : Antiques & Collectibles
Languages : en
Pages : 267

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Book Description
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.

Author: Pedro Domingos
Publisher: Basic Books
ISBN: 0465061923
Category : Computers
Languages : en
Pages : 354

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Book Description
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.

Author: Stanislav Tregub
Publisher: STANISLAV TREGUB
ISBN: 5604473944
Category : Science
Languages : en
Pages : 184

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Book Description
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.

Author: Arlindo Oliveira
Publisher: MIT Press
ISBN: 0262535238
Category : Computers
Languages : en
Pages : 341

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Book Description
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?

Author: Thomas H. Cormen
Publisher: MIT Press
ISBN: 0262258102
Category : Computers
Languages : en
Pages : 1313

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Book Description
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.