Products related to Knowledge:
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Innovation and Development of Knowledge Societies : Artificial Intelligence and Knowledge-Based Socioeconomic Growth
This book examines the role that intellectual property plays in fostering innovation within knowledge societies, with a particular focus on the role of emerging technologies such as Artificial Intelligence tools. Creativity and the generation of new knowledge across the broad spectrum of intellectual property are essential sources of growth for knowledge societies.This includes the major areas of copyright, inventions and patents, trademarks and geographical indications.This book acknowledges the societal and cultural character of knowledge societies, discussing how Intellectual Property (IP) Law plays a pivotal role in safeguarding innovation, thereby fostering evolution.As emerging technologies and artificial intelligence redefine the landscape, the book identifies both new challenges and opportunities in enhancing innovation prowess and nurturing knowledge societies.Suggesting regulations which prioritise copyright, trademarks and patents as fundamental instruments in international commerce, the book presents a framework for IP Law through which knowledge societies can thrive. The book will appeal to researchers in the field of Intellectual Property Law, international law, business law and emerging technologies such as AI.
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Pathways to Knowledge : Private and Public
How can we know? How can we attain justified belief? These traditional questions in epistemology have inspired philosophers for centuries.Now, in this exceptional work, Alvin Goldman, distinguished scholar and leader in the fields of epistemology and mind, approaches such inquiries as legitimate methods or "pathways" to knowledge.He examines the notion of private and public knowledge, arguing for the epistemic legitimacy of private and introspective methods of gaining knowledge, yet acknowledging the equal importance of social and public mechanisms in the quest for truth.Throughout, he addresses this opposition but proposes a rigorous framework that resolves such tensions, making this collection of papers one of the most important contributions to the theory of knowledge in recent years.
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Knowledge Economy, Information Technologies and Growth
This volume focuses on the Information and Communication (ICT) revolution and its impact on economic growth.Even though the emergence of the knowledge economy is at the center of attention by media and is often a subject of economic policy debate, economic research on the issue is still relatively underdeveloped and many aspects of it are still awaiting proper theoretical and empirical scrutiny.One important question is whether, as many economists and opinion leaders maintain the knowledge economy and the new information technologies have fostered the birth of a 'new economy' which by inducing a strong productivity growth in most sectors, is behind the impressive growth of GDP experienced by the US economy.Empirical research has in fact been unable to provide a conclusive answer to this question.This book debates this issue and provides the opportunity to discuss the economic and social effects of the ICT revolution.It also focuses on the functioning and the micro-economic structure of the ICT sector, as well as on its impact on various industries, on the financial system and on the labor market.It analyses the role of the ICT revolution on regional development and it addresses important policy issues such as its consequences for antitrust legislation and government regulation.
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Rethinking Copyright for Sustainable Human Development : Higher Education and Access to Knowledge
This book explores the interface between copyright and higher education, and their complementarities for the advancement of sustainable human development.In its broader sense, the concept of human development is noted as a set of freedoms and human capabilities that are essential for human flourishing.Adopting a rights-based human development and capability approach (HDCA), this book primarily examines the relevant policy and legal ?exibilities under the existing international copyright system, and their implications for access to knowledge required for creative innovation and higher education.Exploring the interfaces between copyright and higher education, this book argues that an unbalanced and restrictive copyright system impedes reasonable access to knowledge, and stifles creative and learning freedoms or capabilities.In effect, a restrictive copyright system results in serious ramifications for sustainable human development.In view of its findings, this book underscores the need for rethinking copyright and reframing its relevant ?exibilities as users' rights that are vital for promoting creative and learning capabilities towards sustainable human development.Further, the book emphasizes the complementarities between copyright and higher education, and their joint roles for sustainable human development. Given its application of the HDCA to explore ranges of interlinked topics, this book will be of a great interest to researchers across the fields of intellectual property law, innovation, global development, human rights, and higher education.
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How can one expand knowledge and education?
One can expand knowledge and education by seeking out new experiences, reading widely on a variety of topics, engaging in discussions with others, and pursuing formal education through classes or courses. Additionally, seeking out mentors or experts in a particular field can provide valuable insights and knowledge. Embracing a growth mindset and being open to learning from different perspectives can also contribute to expanding knowledge and education.
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What is the difference between learning and acquiring knowledge?
Learning involves the process of gaining knowledge or skills through study, experience, or teaching. It is an active process that requires engagement and understanding of the information being acquired. Acquiring knowledge, on the other hand, refers to simply obtaining information or facts without necessarily understanding or internalizing it. Learning involves a deeper level of understanding and application of knowledge, while acquiring knowledge can be more passive and superficial.
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Do specialized IT specialists for application development require prior knowledge?
Yes, specialized IT specialists for application development typically require prior knowledge in programming languages, software development methodologies, and relevant technologies. They need to have a strong foundation in computer science and software engineering principles to effectively design, develop, and maintain applications. Additionally, experience with specific programming languages and frameworks commonly used in application development, such as Java, Python, or JavaScript, is often necessary to excel in this role. Continuous learning and staying updated with the latest trends and best practices in application development is also crucial for specialized IT specialists in this field.
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Which IT education can be completed without programming knowledge?
There are several IT education options that can be completed without programming knowledge. Some examples include IT support and help desk certifications, network administration and cybersecurity training, and project management courses. These programs focus on skills such as troubleshooting, system administration, network security, and project coordination, which do not necessarily require programming expertise. Additionally, there are also IT education options that offer introductory programming courses for those who are interested in learning programming skills but do not have prior knowledge.
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Knowledge : Keywords in Teacher Education
Key to teacher education is the knowledge base of the teacher educator, and the ways in which knowledge is conceptualised.This book explores how ideas about knowledge are used in teacher education to critically examine what knowledges are valued across research, policy and practice.The authors explore international and interdisciplinary perspectives on the nature of knowledge (and what counts as knowledge) and how these perspectives on knowledge translate into teacher education, with a final chapter dedicated to exploring consequences for practice.
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Knowledge Guided Machine Learning : Accelerating Discovery using Scientific Knowledge and Data
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines.Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios.As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks.This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing.Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field.Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers.KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML
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Reinventing Education: Beyond the Knowledge Economy
The need for change in the education system is obvious and overwhelming.But each stakeholder group has its own ideas about why the system is broken and how to fix it.Competing priorities, political inertia and diminishing budgets maintain the dysfunctional status quo.This essential text examines the underlying causes behind the key challenges facing schools and argues that we need to move from knowledge transfer systems to a deliberately developmental approach that transforms capabilities including emotional regulation, systems thinking, critical analysis, creativity and collaborative capability. The chapters provide a framework for designing, constructing and implementing school systems that can transform the outcome in a classroom, school or trust. Topics covered include:Why education is a ‘wicked’ problemWhy development must be central and sit alongside knowledge transfer (as AI takes over ‘expertise’)How motivation and value systems evolve and are key to changeHow to drive behaviour change to transform outcomesWhat human-centred means now in a reinvented systemOffering much-needed insights, guidance and solutions for teachers, school leaders and policy-makers, this book will be valuable reading for all those interested in school improvement and education policy.
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AI-Empowered Knowledge Management in Education
This book explains basic ideas behind several methods used in artificial intelligence-based knowledge management techniques.It also shows how these techniques are applied in practical contexts in different education sectors.The book discusses AI-based knowledge management applications, AI-empowered knowledge management in primary and higher education, and technical and ethical challenges and opportunities.
Price: 39.99 £ | Shipping*: 0.00 £
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Can you start learning to drive without any prior knowledge?
Yes, it is possible to start learning to drive without any prior knowledge. Many driving schools offer beginner courses for individuals who have never driven before. These courses typically start with the basics of operating a vehicle, understanding traffic laws, and practicing in a controlled environment. It's important to find a reputable driving school or instructor to ensure that you receive proper instruction and guidance as you begin your journey to becoming a safe and confident driver.
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Which books are suitable for learning hacking, programming, and basic knowledge?
There are several books suitable for learning hacking, programming, and basic knowledge. For hacking, "The Web Application Hacker's Handbook" by Dafydd Stuttard and Marcus Pinto is a comprehensive guide to understanding web application security. For programming, "Python Crash Course" by Eric Matthes is a great resource for beginners to learn Python programming. For basic knowledge, "Computer Science Distilled" by Wladston Ferreira Filho provides a clear and concise introduction to computer science concepts. These books are suitable for individuals looking to gain knowledge and skills in hacking, programming, and basic computer science.
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What is the difference between general knowledge and general education?
General knowledge refers to a wide range of information and facts that a person has acquired through various sources such as reading, watching, or listening. It is a collection of facts and trivia that may not necessarily be organized or structured. On the other hand, general education refers to a more formal and structured learning process that provides individuals with a foundational understanding of various subjects such as math, science, history, and literature. General education aims to develop critical thinking skills, problem-solving abilities, and a well-rounded understanding of the world.
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Do you need knowledge in software development to become a AI developer?
Yes, having knowledge in software development is important for becoming an AI developer. AI development often involves programming and working with various software tools and frameworks to build and deploy AI models. Understanding programming languages, data structures, algorithms, and software development best practices is essential for creating effective AI solutions. Additionally, having a strong foundation in software development can help AI developers to optimize and troubleshoot their AI applications.
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