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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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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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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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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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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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What is the meaning of learning?
Learning is the process of acquiring new knowledge, skills, or understanding through study, experience, or teaching. It involves the ability to absorb information, apply it in different contexts, and adapt one's behavior or thinking based on that knowledge. Learning is a lifelong journey that allows individuals to grow, develop, and improve themselves in various aspects of life. It is a fundamental aspect of human existence that enables personal and professional growth, critical thinking, and problem-solving abilities.
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Communities of Practice : Learning, Meaning, and Identity
This book presents a theory of learning that starts with the assumption that engagement in social practice is the fundamental process by which we get to know what we know and by which we become who we are.The primary unit of analysis of this process is neither the individual nor social institutions, but the informal 'communities of practice' that people form as they pursue shared enterprises over time.To give a social account of learning, the theory explores in a systematic way the intersection of issues of community, social practice, meaning, and identity.The result is a broad framework for thinking about learning as a process of social participation.This ambitious but thoroughly accessible framework has relevance for the practitioner as well as the theoretician, presented with all the breadth, depth, and rigor necessary to address such a complex and yet profoundly human topic.
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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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AI projects with Raspberry Pi : High-performance artificial intelligence for robotics, security, home automation, and vision
The Raspberry Pi 5 is the perfect computer to experiment with the world of neural networks, artificial intelligence, and machine learning. Coupled with the Raspberry Pi AI Kit, you can integrate local, high-performance, power-efficient inferencing into your projects.WIth the AI Kit, you can build complex AI vision applications, running in real time, with low latency and low power requirements. This book shows you how to get up and running with pretrained models or models you train yourself.You'll learn how to work with models that can:Identify a variety of objects and highlight them for youEstimate the pose of a personal, animal, or robotDiscern facial landmarks such as eyes, nose, and mouthClassify things based on their appearanceWhen you combine Raspberry Pi with artificial intelligence, it gives you the power to create all sorts of things: robots that can interact intelligently with their surroundings, games that use the physical world as a playing field, and home automation systems that adjust to the environment in real time.You're not limited by the pretrained models; with the Hailo Dataflow Compiler (DFC), you can fine-tune the kit for a variety of use cases.With this guide, you'll be up and running with your own Raspberry Pi-powered applications in no time!
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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 meaning of language intelligence?
Language intelligence refers to the ability to understand and effectively communicate in a language. It involves not only the mastery of vocabulary and grammar, but also the capacity to comprehend nuances, context, and cultural references within a language. Language intelligence enables individuals to express themselves clearly, interpret and analyze written and spoken communication, and adapt their language use to different social and professional contexts. It also encompasses the ability to learn and use multiple languages, as well as to appreciate the diversity and richness of different linguistic expressions.
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What is the meaning of structural engineering?
Structural engineering is a branch of civil engineering that focuses on the design and analysis of structures such as buildings, bridges, and dams. Structural engineers ensure that these structures are able to withstand the forces and loads they will be subjected to, while also considering factors such as safety, durability, and cost-effectiveness. They use principles of physics and mathematics to determine the best materials and construction methods to achieve the desired structural integrity. Overall, the goal of structural engineering is to create safe, stable, and efficient structures that meet the needs of society.
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What is the meaning of genetic engineering?
Genetic engineering is the process of manipulating an organism's genetic material to produce a desired trait or characteristic. This can involve inserting, deleting, or modifying specific genes to achieve a particular outcome, such as increased crop yield or resistance to disease. Genetic engineering has applications in agriculture, medicine, and biotechnology, and has the potential to address various challenges in these fields. However, it also raises ethical and safety concerns that must be carefully considered and regulated.
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How could society of tomorrow look like as artificial intelligence and automation continue to advance?
As artificial intelligence and automation continue to advance, the society of tomorrow could see significant changes in various aspects of life. There may be increased efficiency and productivity in industries, leading to a shift in the job market and the need for new skill sets. There could also be advancements in healthcare, transportation, and communication, improving the overall quality of life. However, there may also be concerns about job displacement and the ethical implications of AI, leading to a need for new regulations and policies to ensure a fair and equitable society. Overall, the society of tomorrow could be more technologically advanced, but it will also require careful consideration of the social and ethical impacts of these advancements.
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