Products related to Relevance:
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Relevance Logic
Relevance logics are a misunderstood lot. Despite being the subject of intense study for nearly a century, they remain maligned as too complicated, too abstruse, or too silly to be worth learning much about.This Element aims to dispel these misunderstandings.By focusing on the weak relevant logic B, the discussion provides an entry point into a rich and diverse family of logics.Also, it contains the first-ever textbook treatment of quantification in relevance logics, as well as an overview of the cutting edge on variable sharing results and a guide to further topics in the field.
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Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
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Food Engineering Automation with Robotics and AI
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Artificial Intelligence and Learning Futures : Critical Narratives of Technology and Imagination in Higher Education
Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of artificial intelligence’s adoption in higher education and the challenges to building sustainable instead of dystopic schooling.As AI becomes integral to both pedagogy and profitability in today’s colleges and universities, a critical discourse on these systems and algorithms is urgently needed to push back against their potential to enable surveillance, control, and oppression.This book examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies in a way that ensures quality and sustainability.Leaders, administrators, and faculty as well as technologists and designers will find these provocative and accessible ideas profoundly applicable to their research, decision-making, and concerns.
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Which programming language is used for robotics and artificial intelligence?
Python is commonly used for robotics and artificial intelligence due to its simplicity, readability, and extensive libraries for machine learning and robotics. It is also known for its flexibility and ease of integration with hardware, making it a popular choice for developing robotics and AI applications. Additionally, Python's strong community support and active development make it a suitable language for these rapidly evolving fields.
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What is historical relevance?
Historical relevance refers to the significance and importance of a particular event, person, or idea in the context of history. It involves understanding how a particular subject has impacted or influenced the course of history and how it continues to be relevant in contemporary times. By studying historical relevance, we can gain insights into the past, learn from past mistakes, and make informed decisions for the future. It helps us to connect the dots between the past and the present, providing a deeper understanding of the world around us.
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Is machine learning already artificial intelligence?
Machine learning is a subset of artificial intelligence. It involves training a machine to learn from data and make predictions or decisions without being explicitly programmed to do so. Artificial intelligence, on the other hand, encompasses a broader range of technologies and applications that enable machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems. While machine learning is an important component of artificial intelligence, AI also includes other techniques such as natural language processing, computer vision, and robotics.
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Does Dragonball GT have relevance?
Dragonball GT is considered by many fans to be non-canon as it was not based on the original manga created by Akira Toriyama. However, it still holds relevance within the Dragonball franchise as it continues the story of Goku and his friends after Dragonball Z. Some fans appreciate the new characters and storylines introduced in GT, while others prefer to focus on the original manga and its direct sequel, Dragonball Super. Ultimately, the relevance of Dragonball GT is subjective and depends on individual preferences within the fanbase.
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Brand Relevance : Making Competitors Irrelevant
Branding guru Aaker shows how to eliminate the competition and become the lead brand in your market This ground-breaking book defines the concept of brand relevance using dozens of case studies-Prius, Whole Foods, Westin, iPad and more-and explains how brand relevance drives market dynamics, which generates opportunities for your brand and threats for the competition.Aaker reveals how these companies have made other brands in their categories irrelevant.Key points: When managing a new category of product, treat it as if it were a brand; By failing to produce what customers want or losing momentum and visibility, your brand becomes irrelevant; and create barriers to competitors by supporting innovation at every level of the organization. Using dozens of case studies, shows how to create or dominate new categories or subcategories, making competitors irrelevantShows how to manage the new category or subcategory as if it were a brand and how to create barriers to competitorsDescribes the threat of becoming irrelevant by failing to make what customer are buying or losing energyDavid Aaker, the author of four brand books, has been called the father of branding This book offers insight for creating and/or owning a new business arena.Instead of being the best, the goal is to be the only brand around-making competitors irrelevant.
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Advances in Robotics and Artificial Intelligence
The reality of autonomous machines with artificial intelligence is becoming more real every day.The ability of machines to think and learn fascinates everyone, but now even the most reluctant readers have a chance to engage in learning about the history and future of robotics.This book covers everything from the 18th century French automatons to Ada Lovelace and Alan Turing, from self-driving cars and smart homes to assembly and military robots.Each spread is complimented with vivid artwork that further illuminates the accessible, exciting text.
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Artificial Intelligence And Innovation Management
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate.It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation).The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions.They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).
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Adopting Artificial Intelligence Tools in Higher Education : Teaching and Learning
The book offers a modern exploration of the intersection of technology and education.It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education. Each chapter discusses a different area where AI can enhance the educational landscape, such as AI Integration in Higher Education and Immersive Virtual Reality-Based Learning Environments.The book also emphasizes Student-Centered Learning, AI-powered frameworks for academic excellence, and Learner-Centric Pedagogies.Furthermore, it delves into the role of AI in Personalized Learning in STEM courses, the development of AI-based Tutoring Systems, and the use of Machine Learning to identify students' mental health status.The volume concludes with "Dynamic Horizon," which examines how AI and gamification are shaping higher education. This book is essential for educators, administrators, researchers, and policymakers who want to leverage AI to create an adaptive, personalized, and engaging learning environment. "Adopting Artificial Intelligence Tools in Higher Education" provides valuable insights into the future of education, paving the way for a more empowered and enlightened academic world.
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What is the scientific relevance?
The scientific relevance of a study refers to its contribution to the existing body of knowledge in a particular field. It is important for research to be scientifically relevant in order to advance our understanding of a topic, develop new theories, and potentially lead to practical applications. Scientific relevance also ensures that research is meaningful and impactful, and can potentially influence future studies and policies. Ultimately, scientific relevance is crucial for the progress and development of scientific knowledge.
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What is the relevance of technical mechanics to the study of mechanical engineering?
Technical mechanics is crucial to the study of mechanical engineering as it provides the foundational principles and theories that govern the behavior of mechanical systems. Understanding technical mechanics allows mechanical engineers to analyze and design complex machinery, structures, and systems with precision and efficiency. By applying the principles of technical mechanics, engineers can predict how different forces and materials will interact within a system, enabling them to optimize performance, ensure safety, and solve engineering problems effectively.
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Does Dragonball GT have any relevance?
Dragonball GT is considered by many fans to be non-canon as it was not based on the original manga by Akira Toriyama. However, it still holds relevance to some fans as it continues the story of Goku and his friends after Dragonball Z. Some elements from Dragonball GT have been referenced in other Dragonball media, such as video games and merchandise, keeping it somewhat relevant within the franchise. Ultimately, its relevance is subjective and depends on individual fans' perspectives.
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What social relevance do craftsmen have?
Craftsmen have social relevance in various ways. They contribute to the preservation of traditional skills and techniques, passing down knowledge from generation to generation. Additionally, craftsmen often play a role in supporting local economies and communities by creating unique, handmade products. Their work also adds cultural value by showcasing the diversity and creativity of different regions and societies. Overall, craftsmen have a significant impact on society by promoting sustainability, cultural heritage, and community development.
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