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Author: Noreddine Gherabi
Publisher: Springer Nature
ISBN: 303072588X
Category : Computers
Languages : en
Pages : 315
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Book Description
This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.
Author: Noreddine Gherabi
Publisher: Springer Nature
ISBN: 303072588X
Category : Computers
Languages : en
Pages : 315
Get Book Here
Book Description
This book describes important methodologies, tools and techniques from the fields of artificial intelligence, basically those which are based on relevant conceptual and formal development. The coverage is wide, ranging from machine learning to the use of data on the Semantic Web, with many new topics. The contributions are concerned with machine learning, big data, data processing in medicine, similarity processing in ontologies, semantic image analysis, as well as many applications including the use of machine leaning techniques for cloud security, artificial intelligence techniques for detecting COVID-19, the Internet of things, etc. The book is meant to be a very important and useful source of information for researchers and doctoral students in data analysis, Semantic Web, big data, machine learning, computer engineering and related disciplines, as well as for postgraduate students who want to integrate the doctoral cycle.
Author:
Publisher: TheBookEdition
ISBN:
Category :
Languages : en
Pages : 146
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Book Description
Author: Stéphane d' Ascoli
Publisher: First
ISBN: 2412058784
Category : Science
Languages : fr
Pages : 157
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Book Description
Découvrez comment fonctionne l'intelligence artificielle et comment elle a investi tous les domaines de notre vie quotidienne ! Comment Netflix cerne nos goûts ? Comment fonctionne Google Translate ? Un algorithme peut-il peindre comme Van Gogh ? L'IA peut-elle vaincre le cancer ? L'IA menace-t-elle la démocratie ? Qu'est-ce qu'un algorithme ? Comment fonctionne la reconnaissance faciale ? Comment Siri comprend nos questions ? L'IA pourra-t-elle vraiment conduire nos voitures ? Quel sera l'impact de l'IA sur l'environnement ? Elle nous guide au volant aujourd'hui et le maniera à notre place demain. Elle détecte des tumeurs aujourd'hui et les opérera demain. Elle répond à nos questions aujourd'hui et s'en posera peut-être elle-même demain... Utile ou envahissante, providentielle ou pernicieuse, l'intelligence artificielle (IA) influence nos vies d'une manière souvent mystérieuse, qui nous fascine ou nous inquiète. Dans ce livre, Stéphane d'Ascoli décrypte en une cinquantaine de questions les prouesses, les limites et les enjeux de l'IA en s'appuyant sur des explications claires et abordables, et des illustrations et exemples concrets.
Author:
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 1266
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Book Description
Author:
Publisher:
ISBN:
Category : Communication
Languages : en
Pages : 348
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Book Description
Author: William Lawless
Publisher: Academic Press
ISBN: 0128223790
Category : Computers
Languages : en
Pages : 448
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Book Description
Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of "shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. - Discusses the foundations, metrics, and applications of human-machine systems - Considers advances and challenges in the performance of autonomous machines and teams of humans - Debates theoretical human-machine ecosystem models and what happens when machines malfunction
Author: Ilse Verdiesen
Publisher: BRILL
ISBN: 9004449086
Category : Law
Languages : en
Pages : 634
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Book Description
The deployment of Autonomous Weapons gives rise to ongoing debate in society and at the United Nations, in the context of the Convention on Certain Conventional Weapons. Yet little empirical research has been done on this topic. This volume fills that gap by offering an empirical study based on military personnel and civilians working at the Dutch Ministry of Defence. It yields insight into how Autonomous Weapons are perceived by the military and general public; and which moral values are considered important in relation to their deployment. The research approach used is the Value-Sensitive Design (VSD) method that allows for the consideration of human values throughout the design process of technology. The outcome indicates that military personnel and civilians attribute more agency (the capacity to think and plan) to an Autonomous Weapon than to a Human Operated Drone. In addition, it is clear that common ground exists between military and societal groups in their perception of the values of human dignity and anxiety. These two values arise often in the discourse, and addressing them is essential when considering the ethics of the deployment of Autonomous Weapons. The text of this volume is also offered in parallel French and German translation.
Author:
Publisher: Food & Agriculture Org.
ISBN: 9251390959
Category :
Languages : en
Pages : 312
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Book Description
Author: Edward Ashford Lee
Publisher: MIT Press
ISBN: 0262358360
Category : Technology & Engineering
Languages : en
Pages : 385
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Book Description
Should digital technology be viewed as a new life form, sharing our ecosystem and coevolving with us? Are humans defining technology, or is technology defining humans? In this book, Edward Ashford Lee considers the case that we are less in control of the trajectory of technology than we think. It shapes us as much as we shape it, and it may be more defensible to think of technology as the result of a Darwinian coevolution than the result of top-down intelligent design. Richard Dawkins famously said that a chicken is an egg's way of making another egg. Is a human a computer's way of making another computer? To understand this question requires a deep dive into how evolution works, how humans are different from computers, and how the way technology develops resembles the emergence of a new life form on our planet. Lee presents the case for considering digital beings to be living, then offers counterarguments. What we humans do with our minds is more than computation, and what digital systems do—be teleported at the speed of light, backed up, and restored—may never be possible for humans. To believe that we are simply computations, he argues, is a “dataist” faith and scientifically indefensible. Digital beings depend on humans—and humans depend on digital beings. More likely than a planetary wipe-out of humanity is an ongoing, symbiotic coevolution of culture and technology.
Author: Jeff Hawkins
Publisher: Macmillan
ISBN: 1429900458
Category : Computers
Languages : en
Pages : 276
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Book Description
From the inventor of the PalmPilot comes a new and compelling theory of intelligence, brain function, and the future of intelligent machines Jeff Hawkins, the man who created the PalmPilot, Treo smart phone, and other handheld devices, has reshaped our relationship to computers. Now he stands ready to revolutionize both neuroscience and computing in one stroke, with a new understanding of intelligence itself. Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can finally build intelligent machines. The brain is not a computer, but a memory system that stores experiences in a way that reflects the true structure of the world, remembering sequences of events and their nested relationships and making predictions based on those memories. It is this memory-prediction system that forms the basis of intelligence, perception, creativity, and even consciousness. In an engaging style that will captivate audiences from the merely curious to the professional scientist, Hawkins shows how a clear understanding of how the brain works will make it possible for us to build intelligent machines, in silicon, that will exceed our human ability in surprising ways. Written with acclaimed science writer Sandra Blakeslee, On Intelligence promises to completely transfigure the possibilities of the technology age. It is a landmark book in its scope and clarity.
