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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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What is the accuracy of watches?
The accuracy of watches can vary depending on the type and quality of the watch. Mechanical watches, which are powered by a mainspring and regulated by a balance wheel, are generally less accurate than quartz watches, which are powered by a battery and regulated by a quartz crystal. Mechanical watches can have an accuracy of around -10 to +30 seconds per day, while quartz watches can have an accuracy of around -0.5 to +0.5 seconds per day. However, some high-end mechanical watches, such as chronometers, can achieve very high levels of accuracy, often within a few seconds per day.
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What is the accuracy of Chescom?
Chescom is a highly accurate system, with an accuracy rate of over 99%. It uses advanced technology and algorithms to ensure precise and reliable results in various applications, such as medical diagnostics, financial analysis, and quality control in manufacturing. The high accuracy of Chescom makes it a trusted and valuable tool for decision-making and problem-solving in a wide range of industries.
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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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Adopting Artificial Intelligence Tools in Higher Education : Teaching and Learning
This 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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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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How can historical accuracy be verified?
Historical accuracy can be verified through a variety of methods, including cross-referencing multiple primary sources, examining archaeological evidence, and consulting scholarly research and historical documents. It is important to critically evaluate the credibility and bias of the sources being used, and to consider the context in which the information was produced. Collaborating with experts in the field and conducting thorough research can help to ensure that the historical information being presented is accurate and reliable.
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What causes shaky hands and affects accuracy?
Shaky hands can be caused by a variety of factors, including anxiety, stress, fatigue, caffeine or nicotine consumption, low blood sugar, or certain medical conditions such as essential tremor or Parkinson's disease. These factors can affect accuracy by making it difficult to maintain a steady grip or control over fine motor movements, leading to shakiness and decreased precision. Additionally, shaky hands can also impact hand-eye coordination, making it harder to aim or perform tasks that require steady, controlled movements.
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What determines the accuracy of a photocopy?
The accuracy of a photocopy is determined by several factors, including the quality of the original document, the resolution and capabilities of the photocopier, and the settings used during the copying process. A high-quality original document with clear and sharp text or images will generally result in a more accurate photocopy. Additionally, using a photocopier with high resolution and advanced features, such as image enhancement and automatic color correction, can also contribute to the accuracy of the copy. Finally, adjusting the settings such as brightness, contrast, and paper type can further improve the accuracy of the photocopy.
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How does WLAN contribute to location accuracy?
WLAN (Wireless Local Area Network) contributes to location accuracy by providing access points that can be used to triangulate the position of a device. By measuring the signal strength and distance from multiple access points, the device can calculate its position with greater accuracy. This allows for more precise location-based services and applications, such as indoor navigation, asset tracking, and location-based advertising. WLAN also enables the use of Wi-Fi positioning systems, which can complement GPS and improve location accuracy in indoor environments where GPS signals may be weak or unavailable.
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