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Online Education Using Learning Objects
'E-learning is integral to on-site education institutions worldwide, and the rapid explosion of interest in the subject means that this timely, cutting-edge book will be an instant and indispensable resource.Among educators, the development of reusable learning objects made accessible via the internet is ever more important to teaching and learning.This book provides a comprehensive look at a state-of-the-art online education, and presents advice on the creation, adaptation and implementation of learning objects and metadata.Including articles written by some of the leading innovators in the field, this book takes the reader through: designing effective learning objects; creating learning objects; transforming existing content into reusable learning objects; building a metadata management system.This book will be essential reference material for learning technologists, course developers at learning institutions, postgraduate students, teachers and learners in the field of e-learning.'
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Programming Scala : Scalability = Functional Programming + Objects
Get up to speed on Scala--the JVM, JavaScript, and natively compiled language that offers all the benefits of functional programming, a modern object model, and an advanced type system.Packed with code examples, this comprehensive book shows you how to be productive with the language and ecosystem right away.You'll learn why Scala is ideal for building today's highly scalable, data-centric applications, while maximizing developer productivity. While Java remains popular and Kotlin has become popular, Scala hasn't been sitting still.This third edition covers the new features in Scala 3.0 with updates throughout the book.Programming Scala is ideal for beginning to advanced developers who want a complete understanding of Scala's design philosophy and features with a thoroughly practical focus. Program faster with Scala's succinct and flexible syntaxDive into basic and advanced functional programming techniquesBuild killer big data and distributed apps using Scala's functional combinators and tools like Spark and AkkaCreate concise solutions to challenging design problems with the sophisticated type system, mixin composition with traits, pattern matching, and more
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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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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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How does artificial intelligence recognize its own objects?
Artificial intelligence recognizes its own objects through a process called object detection. This involves using algorithms to analyze and identify specific patterns and features within an image or video feed. These algorithms are trained on large datasets to learn the characteristics of different objects and then use this knowledge to accurately detect and classify objects in real-time. Additionally, deep learning techniques, such as convolutional neural networks, are commonly used in object recognition tasks to improve accuracy and efficiency.
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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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Is there an artificial intelligence or a program that can turn images of objects into drawings?
Yes, there are several artificial intelligence programs and software that can turn images of objects into drawings. One example is Google's AutoDraw, which uses machine learning to recognize hand-drawn sketches and suggest more polished drawings. Another example is Adobe Illustrator's "Image Trace" feature, which can convert raster images into vector drawings. These AI programs use advanced algorithms to analyze and interpret the input images, and then generate corresponding drawings or illustrations.
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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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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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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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How can objects be isolated and objects be deleted?
Objects can be isolated by selecting them individually or using selection tools to choose specific objects within a design. Once isolated, objects can be deleted by pressing the delete key on the keyboard or using the delete option in the editing menu. It is important to make sure the correct object is isolated before deleting to avoid accidentally removing the wrong element from the design.
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What is the difference between objects, methods, and classes in programming?
In programming, objects are instances of classes that contain data and methods. Classes are blueprints for creating objects, defining their properties and behaviors. Methods are functions that are defined within a class and can be called to perform specific tasks or operations on the object's data. In summary, classes define the structure and behavior of objects, objects are instances of classes that contain data and methods, and methods are functions defined within classes to perform specific tasks on object data.
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Are shoes objects?
Yes, shoes are objects. They are physical items that can be touched, seen, and used for a specific purpose, which is to protect and support the feet.
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