Products related to Artificial-intelligence:
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Prolog Programming for Artificial Intelligence
The fourth edition of this best-selling guide to Prolog and Artificial Intelligence has been updated to include key developments in the field while retaining its lucid approach to these topics.New and extended topics include Constraint Logic Programming, abductive reasoning and partial order planning. Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques. This textbook is meant to teach Prolog as a practical programming tool and so it concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems.The fourth edition has been fully revised and extended to provide an even greater range of applications, making it a self-contained guide to Prolog, AI or AI Programming for students and professional programmers.
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Artificial Intelligence and Smart Agriculture Technology
This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications.As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications.The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems.The third chapter looks at the use of blockchain technology in smart agricultural scenarios.In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture.Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications.The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools.The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources.The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues.Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases.Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.
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Artificial Intelligence
Artificial Intelligence starts by helping you understand AI, especially what AI needs to work and why it has failed in the past.You also discover the basis for some of the issues with AI today and how those issues might prove to be nearly impossible to solve in some cases.Of course, along with the issues, you also dis-cover the fixes for some problems and consider where scientists are taking AI in search of answers. For a technology to survive, it must have a group of solid applications that actually work.It also must provide a payback to investors with the foresight to invest in the technology.In the past, AI failed to achieve critical success because it lacked some of these features.AI also suffered from being ahead of its time: True AI needed to wait for the current hardware to actually succeed.Today, you can find AI used in various computer applications and to automate processes.It's also relied on heavily in the medical field and to help improve human interaction.AI is also related to data analysis, machine learning, and deep learning.AI has a truly bright future today because it has become an essential technology.This book also shows you the paths that AI is likely to follow in the future.The various trends discussed in this book are based on what people are actually trying to do now.The new technology hasn't succeeded yet, but because people are working on it, it does have a good chance of success at some point.
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ARTificial Intelligence
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What is artificial intelligence?
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, typically computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI technologies enable machines to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is a rapidly evolving field with applications in various industries, including healthcare, finance, transportation, and entertainment.
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What is this artificial intelligence?
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, typically computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI technologies are designed to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is a rapidly evolving field with applications in various industries, including healthcare, finance, transportation, and entertainment.
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Does artificial intelligence scare you?
As an AI, I do not have emotions or fears. However, I understand that some people may feel scared or apprehensive about artificial intelligence due to concerns about its potential impact on society, privacy, and job displacement. It is important for developers and policymakers to address these concerns and ensure that AI is developed and used responsibly.
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Will artificial intelligence replace us?
Artificial intelligence has the potential to automate many tasks currently performed by humans, but it is unlikely to completely replace us. While AI can excel at tasks that require data processing and pattern recognition, it lacks human qualities such as creativity, empathy, and critical thinking. Humans will continue to be essential for decision-making, innovation, and tasks that require emotional intelligence. Therefore, rather than replacing us, AI is more likely to augment our capabilities and transform the way we work and live.
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Militarizing Artificial Intelligence : Theory, Technology, and Regulation
This book examines the military characteristics and potential of Artificial Intelligence (AI) in the new global revolution in military affairs. Offering an original perspective on the utilization, imagination, and politics of AI in the context of military development and weapons regulation, the work provides a comprehensive response to the question of how we might reflect on the AI revolution in warfare and what can be said about the ways in which this has been handled.In the first part of the book, AI is accommodated, both theoretically and empirically, in the strategic context of the 'Revolution in Military Affairs' (RMA).The book offers a novel understanding of autonomous weapons as multi-layered composite systems, pointing to a complex, non-linear interplay between evolutionary and revolutionary dynamics.In the second section, the book provides an impartial analysis of the related politics and operations of power, whereby increases in military budgets and R&D of the great powers are met and countered by advocacy networks and scientists campaigning for a ban on lethal autonomous weapons.As such, it moves beyond popular caricatures of ‘killer robots’ and points out some of the problems which result from over-reliance on such imagery. This book will be of much interest to students of strategic studies, critical security studies, arms control and disarmament, science and technology studies and general International Relations.
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Culture Coding : Harness technology and artificial intelligence to empower your business culture and performance
In the midst of the Fourth Industrial Revolution, your organisation must harness technology, artificial intelligence and digital tools to stay ahead in your field. Fail to do so, and you won’t survive. Culture Coding provides five keys to building a digitally focused, constructive culture that engages staff, delivers for clients and ensures success. It shows you how to take advantage of technology, AI and behavioural science to enable a culture for digital and sustainable business growth, whether you lead a startup, an SME or a multinational enterprise. Read this book to: • Understand why open-sourced technology and AI are central to streamlining business services • Identify where and how AI can make the most difference to your organisation • Use gamification to maintain consistent staff and client engagement and keep making marginal gains in the new relationship economy • Apply behavioural science and digital strategies to become an emotionally intelligent business • Ensure your organisation is cyber-resilient
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Artificial General Intelligence
How to make AI capable of general intelligence, and what such technology would mean for society. Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology.Although some very recent AI systems are generalists to a degree, most AI is narrowly specific; that is, it can only do a single thing, in a single context.For example, your spellchecker can’t do mathematics, and the world's best chess-playing program can’t play Tetris.Human intelligence is different. We can solve a variety of tasks, including those we have not seen before.In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization. Togelius starts by giving examples of narrow AI that have superhuman performance in some way.Interestingly, there have been AI systems that are superhuman in some sense for more than half a century.He then discusses what it would mean to have general intelligence, by looking at definitions from psychology, ethology, and computer science.Next, he explores the two main families of technical approaches to developing more general artificial intelligence: foundation models through self-supervised learning, and open-ended learning in virtual environments.The final chapters of the book investigate potential artificial general intelligence beyond the strictly technical aspects.The questions discussed here investigate whether such general AI would be conscious, whether it would pose a risk to humanity, and how it might alter society.
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Multilingual Artificial Intelligence
Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data. Focusing on multilingual, multicultural, pre-trained large language models and their practical use through fine-tuning and prompt engineering, Wang and Smith demonstrate how to apply this new technology in areas such as information retrieval, semantic webs and retrieval augmented generation, to improve both human productivity and machine intelligence.Finally, it discusses the human impact of language technologies in the cultural context, and provides an AI competence framework for users to design their own learning journey. This innovative text is essential reading for all students, professionals and researchers in language, linguistics and related areas looking to understand how to integrate multilingual and multicultural artificial intelligence technology into their research.
Price: 145.00 £ | Shipping*: 0.00 £
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Is artificial intelligence a danger?
Artificial intelligence can be a double-edged sword. While it has the potential to greatly benefit society by improving efficiency and solving complex problems, there are also concerns about its potential dangers. These include issues such as job displacement, privacy invasion, and the potential for AI systems to make biased or unethical decisions. It is crucial for regulations and ethical guidelines to be in place to ensure that AI is developed and used responsibly.
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How intelligent is artificial intelligence?
Artificial intelligence can be considered highly intelligent in terms of its ability to perform specific tasks and solve complex problems. AI systems can process and analyze vast amounts of data at speeds far beyond human capabilities, leading to advancements in various fields such as healthcare, finance, and transportation. However, AI lacks the general intelligence and cognitive abilities of humans, such as creativity, emotional intelligence, and common sense reasoning, which limits its overall intelligence compared to human intelligence.
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Is artificial intelligence a threat?
Artificial intelligence can be seen as a potential threat due to concerns about job displacement, privacy invasion, and the potential for misuse in warfare or surveillance. However, it also has the potential to bring about significant advancements in various fields such as healthcare, transportation, and education. It is important for society to carefully consider and regulate the development and deployment of AI to ensure that its benefits are maximized while minimizing potential risks.
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Is artificial intelligence totally overestimated?
Artificial intelligence is a powerful and rapidly advancing technology, but it is not without its limitations and challenges. While AI has made significant progress in areas such as image and speech recognition, natural language processing, and autonomous vehicles, it still struggles with complex reasoning, understanding context, and generalizing knowledge. Additionally, there are ethical and societal concerns surrounding the use of AI, such as bias in algorithms and job displacement. Therefore, while AI has great potential, it is important to approach its capabilities and limitations with a balanced perspective.
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