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Toward Human Level Artificial Intelligence


Toward Human Level Artificial Intelligence
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Toward Human Level Artificial Intelligence


Toward Human Level Artificial Intelligence
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Author : Eitan Michael Azoff
language : en
Publisher: CRC Press
Release Date : 2024-09-18

Toward Human Level Artificial Intelligence written by Eitan Michael Azoff and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.


Is a computer simulation of a brain sufficient to make it intelligent? Do you need consciousness to have intelligence? Do you need to be alive to have consciousness? This book has a dual purpose. First, it provides a multi-disciplinary research survey across all branches of neuroscience and AI research that relate to this book’s mission of bringing AI research closer to building a human-level AI (HLAI) system. It provides an encapsulation of key ideas and concepts, and provides all the references for the reader to delve deeper; much of the survey coverage is of recent pioneering research. Second, the final part of this book brings together key concepts from the survey and makes suggestions for building HLAI. This book provides accessible explanations of numerous key concepts from neuroscience and artificial intelligence research, including: The focus on visual processing and thinking and the possible role of brain lateralization toward visual thinking and intelligence. Diffuse decision making by ensembles of neurons. The inside-out model to give HLAI an inner "life" and the possible role for cognitive architecture implementing the scientific method through the plan-do-check-act cycle within that model (learning to learn). A neuromodulation feature such as a machine equivalent of dopamine that reinforces learning. The embodied HLAI machine, a neurorobot, that interacts with the physical world as it learns. This book concludes by explaining the hypothesis that computer simulation is sufficient to take AI research further toward HLAI and that the scientific method is our means to enable that progress. This book will be of great interest to a broad audience, particularly neuroscientists and AI researchers, investors in AI projects, and lay readers looking for an accessible introduction to the intersection of neuroscience and artificial intelligence.



Toward Human Level Artificial Intelligence


Toward Human Level Artificial Intelligence
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Author : Philip C. Jackson
language : en
Publisher: Courier Dover Publications
Release Date : 2019-12-11

Toward Human Level Artificial Intelligence written by Philip C. Jackson and has been published by Courier Dover Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-11 with Mathematics categories.


Dr. Jackson discusses how an AI system using a language of thought based on the unconstrained syntax of a natural language could achieve "higher-level mentalities" of human intelligence, with advanced forms of learning and reasoning, imagination, and more. 2019 edition.



Architects Of Intelligence


Architects Of Intelligence
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Author : Martin Ford
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-11-23

Architects Of Intelligence written by Martin Ford and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-23 with Computers categories.


Financial Times Best Books of the Year 2018 TechRepublic Top Books Every Techie Should Read Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future. Meet the minds behind the AI superpowers as they discuss the science, business and ethics of modern artificial intelligence. Read James Manyika’s thoughts on AI analytics, Geoffrey Hinton’s breakthroughs in AI programming and development, and Rana el Kaliouby’s insights into AI marketing. This AI book collects the opinions of the luminaries of the AI business, such as Stuart Russell (coauthor of the leading AI textbook), Rodney Brooks (a leader in AI robotics), Demis Hassabis (chess prodigy and mind behind AlphaGo), and Yoshua Bengio (leader in deep learning) to complete your AI education and give you an AI advantage in 2019 and the future.



Toward Human Level Artificial Intelligence


Toward Human Level Artificial Intelligence
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Author : Tilburg centre for Creative Computing
language : en
Publisher:
Release Date : 2014

Toward Human Level Artificial Intelligence written by Tilburg centre for Creative Computing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.




Library Information Science Abstracts


Library Information Science Abstracts
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Author :
language : en
Publisher:
Release Date : 2006

Library Information Science Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Information science categories.




The Ai Magazine


The Ai Magazine
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Author :
language : en
Publisher:
Release Date : 1983

The Ai Magazine written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Artificial intelligence categories.




A Brief History Of Intelligence Why The Evolution Of The Brain Holds The Key To The Future Of Ai


A Brief History Of Intelligence Why The Evolution Of The Brain Holds The Key To The Future Of Ai
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Author : Max Bennett
language : en
Publisher: HarperCollins UK
Release Date : 2023-10-24

A Brief History Of Intelligence Why The Evolution Of The Brain Holds The Key To The Future Of Ai written by Max Bennett and has been published by HarperCollins UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-24 with Science categories.


Bridges the gap between AI and neuroscience by telling the story of how the brain came to be. 'I found this book amazing' Daniel Kahneman, Winner of the Nobel Prize in Economics and bestselling author of Thinking Fast & Slow



A Brief History Of Intelligence


A Brief History Of Intelligence
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Author : Max S. Bennett
language : en
Publisher: HarperCollins
Release Date : 2023-10-24

A Brief History Of Intelligence written by Max S. Bennett and has been published by HarperCollins this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-24 with History categories.


“I found this book amazing. I read it through quickly because it was so interesting, then turned around and read much of it again.”—Daniel Kahneman, winner of the Nobel Prize in Economics and bestselling author of Thinking Fast & Slow “I've been recommending A Brief History of Intelligence to everyone I know. A truly novel, beautifully crafted thesis on what intelligence is and how it has developed since the dawn of life itself."—Angela Duckworth, bestselling author of Grit Equal parts Sapiens, Behave, and Superintelligence, but wholly original in scope, A Brief History of Intelligence offers a paradigm shift for how we understand neuroscience and AI. Artificial intelligence entrepreneur Max Bennett chronicles the five “breakthroughs” in the evolution of human intelligence and reveals what brains of the past can tell us about the AI of tomorrow. In the last decade, capabilities of artificial intelligence that had long been the realm of science fiction have, for the first time, become our reality. AI is now able to produce original art, identify tumors in pictures, and even steer our cars. And yet, large gaps remain in what modern AI systems can achieve—indeed, human brains still easily perform intellectual feats that we can’t replicate in AI systems. How is it possible that AI can beat a grandmaster at chess but can’t effectively load a dishwasher? As AI entrepreneur Max Bennett compellingly argues, finding the answer requires diving into the billion-year history of how the human brain evolved; a history filled with countless half-starts, calamities, and clever innovations. Not only do our brains have a story to tell—the future of AI may depend on it. Now, in A Brief History of Intelligence, Bennett bridges the gap between neuroscience and AI to tell the brain’s evolutionary story, revealing how understanding that story can help shape the next generation of AI breakthroughs. Deploying a fresh perspective and working with the support of many top minds in neuroscience, Bennett consolidates this immense history into an approachable new framework, identifying the “Five Breakthroughs” that mark the brain’s most important evolutionary leaps forward. Each breakthrough brings new insight into the biggest mysteries of human intelligence. Containing fascinating corollaries to developments in AI, A Brief History of Intelligence shows where current AI systems have matched or surpassed our brains, as well as where AI systems still fall short. Simply put, until AI systems successfully replicate each part of our brain’s long journey, AI systems will fail to exhibit human-like intelligence. Endorsed and lauded by many of the top neuroscientists in the field today, Bennett’s work synthesizes the most relevant scientific knowledge and cutting-edge research into an easy-to-understand and riveting evolutionary story. With sweeping scope and stunning insights, A Brief History of Intelligence proves that understanding the arc of our brain’s history can unlock the tools for successfully navigating our technological future.



Ai Magazine


Ai Magazine
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Author :
language : en
Publisher:
Release Date : 2004

Ai Magazine written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Artificial intelligence categories.




Artificial Intelligence


Artificial Intelligence
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Author : Melanie Mitchell
language : en
Publisher: Farrar, Straus and Giroux
Release Date : 2019-10-15

Artificial Intelligence written by Melanie Mitchell and has been published by Farrar, Straus and Giroux this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-15 with Computers categories.


“After reading Mitchell’s guide, you’ll know what you don’t know and what other people don’t know, even though they claim to know it. And that’s invaluable.” —The New York Times A leading computer scientist brings human sense to the AI bubble. No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.