Brain Vision And Ai

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Brain, Vision, and Artificial Intelligence

Author : Massimo De Gregorio
Publisher : Springer Science & Business Media
ISBN 13 : 3540292829
Total Pages : 570 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Brain, Vision, and Artificial Intelligence by : Massimo De Gregorio

Download or read book Brain, Vision, and Artificial Intelligence written by Massimo De Gregorio and published by Springer Science & Business Media. This book was released on 2005-10-11 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2005, held in Naples, Italy in October 2005. The 48 revised papers presented together with 6 invited lectures were carefully reviewed and selected from more than 80 submissions for inclusion in the book. The papers are addressed to the following main topics and sub-topics: brain basics - neuroanatomy and physiology, development, plasticity and learning, synaptic, neuronic and neural network modelling; natural vision - visual neurosciences, mechanisms and model systems, visual perception, visual cognition; artificial vision - shape perception, shape analysis and recognition, shape understanding; artificial inteligence - hybrid intelligent systems, agents, and cognitive models.

Brain, Vision and AI

Author : Cesare Rossi
Publisher : BoD – Books on Demand
ISBN 13 : 9537619044
Total Pages : 296 pages
Book Rating : 4.5/5 (376 download)

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Book Synopsis Brain, Vision and AI by : Cesare Rossi

Download or read book Brain, Vision and AI written by Cesare Rossi and published by BoD – Books on Demand. This book was released on 2008-08-01 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide new ideas, original results and practical experiences regarding service robotics. This book provides only a small example of this research activity, but it covers a great deal of what has been done in the field recently. Furthermore, it works as a valuable resource for researchers interested in this field.

Advances in Brain, Vision, and Artificial Intelligence

Author : Francesco Mele
Publisher : Springer
ISBN 13 : 3540755551
Total Pages : 632 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advances in Brain, Vision, and Artificial Intelligence by : Francesco Mele

Download or read book Advances in Brain, Vision, and Artificial Intelligence written by Francesco Mele and published by Springer. This book was released on 2007-09-21 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2007. Coverage includes: basic models in visual sciences, cortical mechanism of vision, color processing in natural vision, action oriented vision, visual recognition and attentive modulation, biometric recognition, image segmentation and recognition, disparity calculation and noise analysis, meaning-interaction-emotion, and robot navigation.

Intelligence

Author : Martin A. Fischler
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 364 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Intelligence by : Martin A. Fischler

Download or read book Intelligence written by Martin A. Fischler and published by Addison-Wesley Professional. This book was released on 1987 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book treats the question of how far we have come in understanding intelligence and in duplicating it mechanically. The major facets of intelligence--reasoning, vision, language and learning are discussed as an approach to contrasting biological intelligence with current computer realizations.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Author : Robert Kozma
Publisher : Academic Press
ISBN 13 : 0323958168
Total Pages : 398 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence in the Age of Neural Networks and Brain Computing by : Robert Kozma

Download or read book Artificial Intelligence in the Age of Neural Networks and Brain Computing written by Robert Kozma and published by Academic Press. This book was released on 2023-10-11 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. - Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN - Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making - Edited by high-level academics and researchers in intelligent systems and neural networks - Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks

Artificial Intelligence

Author : Melanie Mitchell
Publisher : Farrar, Straus and Giroux
ISBN 13 : 0374715238
Total Pages : 336 pages
Book Rating : 4.3/5 (747 download)

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Book Synopsis Artificial Intelligence by : Melanie Mitchell

Download or read book Artificial Intelligence written by Melanie Mitchell and published by Farrar, Straus and Giroux. This book was released on 2019-10-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world 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.

Human Brain and Artificial Intelligence

Author : An Zeng
Publisher : Springer Nature
ISBN 13 : 9811513988
Total Pages : 348 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Human Brain and Artificial Intelligence by : An Zeng

Download or read book Human Brain and Artificial Intelligence written by An Zeng and published by Springer Nature. This book was released on 2019-11-09 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the workshop held in conjunction with the 28th International Conference on Artificial Intelligence, IJCAI 2019, held in Macao, China, in August 2019: the First International Workshop on Human Brain and Artificial Intelligence, HBAI 2019. The 24 full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized according to the following topical headings: computational brain science and its applications; brain-inspired artificial intelligence and its applications.

A Thousand Brains

Author : Jeff Hawkins
Publisher : Basic Books
ISBN 13 : 1541675800
Total Pages : 251 pages
Book Rating : 4.5/5 (416 download)

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Book Synopsis A Thousand Brains by : Jeff Hawkins

Download or read book A Thousand Brains written by Jeff Hawkins and published by Basic Books. This book was released on 2021-03-02 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bestselling author, neuroscientist, and computer engineer unveils a theory of intelligence that will revolutionize our understanding of the brain and the future of AI. For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered that the brain uses maplike structures to build a model of the world—not just one model, but hundreds of thousands of models of everything we know. This discovery allows Hawkins to answer important questions about how we perceive the world, why we have a sense of self, and the origin of high-level thought. A Thousand Brains heralds a revolution in the understanding of intelligence. It is a big-think book, in every sense of the word. One of the Financial Times' Best Books of 2021 One of Bill Gates' Five Favorite Books of 2021

Artificial Intelligence-Based Brain-Computer Interface

Author : Varun Bajaj
Publisher : Academic Press
ISBN 13 : 0323914128
Total Pages : 394 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence-Based Brain-Computer Interface by : Varun Bajaj

Download or read book Artificial Intelligence-Based Brain-Computer Interface written by Varun Bajaj and published by Academic Press. This book was released on 2022-02-04 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for the modeling of non-invasive modalities of medical signals such as EEG, MRI and FMRI. These modalities and their AI-based analysis are employed in BCI and related applications. The book emphasizes the real challenges in non-invasive input due to the complex nature of the human brain and for a variety of applications for analysis, classification and identification of different mental states. Each chapter starts with a description of a non-invasive input example and the need and motivation of the associated AI methods, along with discussions to connect the technology through BCI. Major topics include different AI methods/techniques such as Deep Neural Networks and Machine Learning algorithms for different non-invasive modalities such as EEG, MRI, FMRI for improving the diagnosis and prognosis of numerous disorders of the nervous system, cardiovascular system, musculoskeletal system, respiratory system and various organs of the body. The book also covers applications of AI in the management of chronic conditions, databases, and in the delivery of health services. - Provides readers with an understanding of key applications of Artificial Intelligence to Brain-Computer Interface for acquisition and modelling of non-invasive biomedical signal and image modalities for various conditions and disorders - Integrates recent advancements of Artificial Intelligence to the evaluation of large amounts of clinical data for the early detection of disorders such as Epilepsy, Alcoholism, Sleep Apnea, motor-imagery tasks classification, and others - Includes illustrative examples on how Artificial Intelligence can be applied to the Brain-Computer Interface, including a wide range of case studies in predicting and classification of neurological disorders

Eye, Brain, and Vision

Author : David H. Hubel
Publisher : W. H. Freeman
ISBN 13 : 9780716760092
Total Pages : 242 pages
Book Rating : 4.7/5 (6 download)

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Book Synopsis Eye, Brain, and Vision by : David H. Hubel

Download or read book Eye, Brain, and Vision written by David H. Hubel and published by W. H. Freeman. This book was released on 1995-05-15 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: For over thirty years, Nobel Prize winner David H. Hubel has been at the forefront of research on questions of vision. In Eye, Brain, and Vision, he brings you to the edge of current knowledge about vision, and explores the tasks scientists face in deciphering the many remaining mysteries of vision and the workings of the human brain.

Artificial Intelligence for a Better Future

Author : Bernd Carsten Stahl
Publisher : Springer Nature
ISBN 13 : 3030699781
Total Pages : 128 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for a Better Future by : Bernd Carsten Stahl

Download or read book Artificial Intelligence for a Better Future written by Bernd Carsten Stahl and published by Springer Nature. This book was released on 2021-03-17 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Computer Vision In Medical Imaging

Author : Chi Hau Chen
Publisher : World Scientific
ISBN 13 : 9814460958
Total Pages : 410 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Computer Vision In Medical Imaging by : Chi Hau Chen

Download or read book Computer Vision In Medical Imaging written by Chi Hau Chen and published by World Scientific. This book was released on 2013-11-18 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.

Biological and Computer Vision

Author : Gabriel Kreiman
Publisher : Cambridge University Press
ISBN 13 : 1108483437
Total Pages : 275 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Biological and Computer Vision by : Gabriel Kreiman

Download or read book Biological and Computer Vision written by Gabriel Kreiman and published by Cambridge University Press. This book was released on 2021-02-04 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces neural mechanisms of biological vision and how artificial intelligence algorithms learn to interpret images.

Models of the Mind

Author : Grace Lindsay
Publisher : Bloomsbury Publishing
ISBN 13 : 1472966457
Total Pages : 401 pages
Book Rating : 4.4/5 (729 download)

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Book Synopsis Models of the Mind by : Grace Lindsay

Download or read book Models of the Mind written by Grace Lindsay and published by Bloomsbury Publishing. This book was released on 2021-03-04 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.

The Self-Assembling Brain

Author : Peter Robin Hiesinger
Publisher : Princeton University Press
ISBN 13 : 0691241694
Total Pages : 384 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis The Self-Assembling Brain by : Peter Robin Hiesinger

Download or read book The Self-Assembling Brain written by Peter Robin Hiesinger and published by Princeton University Press. This book was released on 2022-12-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"--

Brain Facts

Author :
Publisher :
ISBN 13 : 9780916110000
Total Pages : 64 pages
Book Rating : 4.1/5 (1 download)

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Book Synopsis Brain Facts by :

Download or read book Brain Facts written by and published by . This book was released on 2002 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Atlas of AI

Author : Kate Crawford
Publisher : Yale University Press
ISBN 13 : 0300209576
Total Pages : 336 pages
Book Rating : 4.3/5 (2 download)

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Book Synopsis The Atlas of AI by : Kate Crawford

Download or read book The Atlas of AI written by Kate Crawford and published by Yale University Press. This book was released on 2021-04-06 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.