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  • Artificial Intelligence for Business : Harness AI for Value, Growth and Innovation
    Artificial Intelligence for Business : Harness AI for Value, Growth and Innovation

    Understand and harness the power of artificial intelligence to drive growth and innovation with this comprehensive guide. As AI continues to evolve, it is increasingly important for businesses to make informed decisions about how to use AI to drive success and growth.This book aims to provide a comprehensive understanding of AI and its applications in business, making it the ideal resource for business managers and leaders looking to stay ahead of the curve.With a focus on practical applications and real-world examples, it helps readers understand what AI is, how it is transforming business, how it can be used to drive growth and innovation and how to navigate the realities of implementation. This book looks at the combination of AI with other emerging technologies such as blockchain, internet of things and virtual and augmented reality, showing how these can work together to create new business opportunities and solve complex business problems.It provides guidance on the importance of designing AI applications that are human-centred, including inclusive design and empathy in AI.It features contributions and insights from leading experts and a wealth of real-world examples profiling AI adoption and innovation.

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  • Artificial Intelligence for Business : Harness AI for Value, Growth and Innovation
    Artificial Intelligence for Business : Harness AI for Value, Growth and Innovation

    Understand and harness the power of artificial intelligence to drive growth and innovation with this comprehensive guide. As AI continues to evolve, it is increasingly important for businesses to make informed decisions about how to use AI to drive success and growth.This book aims to provide a comprehensive understanding of AI and its applications in business, making it the ideal resource for business managers and leaders looking to stay ahead of the curve.With a focus on practical applications and real-world examples, it helps readers understand what AI is, how it is transforming business, how it can be used to drive growth and innovation and how to navigate the realities of implementation. This book looks at the combination of AI with other emerging technologies such as blockchain, internet of things and virtual and augmented reality, showing how these can work together to create new business opportunities and solve complex business problems.It provides guidance on the importance of designing AI applications that are human-centred, including inclusive design and empathy in AI.It features contributions and insights from leading experts and a wealth of real-world examples profiling AI adoption and innovation.

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  • Harnessing Automation and Machine Learning for Resource Recovery and Value Creation : From Waste to Value
    Harnessing Automation and Machine Learning for Resource Recovery and Value Creation : From Waste to Value

    Harnessing Automation and Machine Learning for Resource Recovery and Value Creation.From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be used to convert waste into valuable resources.The book gives insight in the opportunities offered by automation and machine learning technologies in waste management and how they can help address the challenges associated with waste management and to discuss the benefits and potential of automation technologies.It examines the potential of machine learning algorithms in analyzing waste management data, identifying patterns, predicting future waste generation, and optimizing waste management processes.Moreover, the book showcases case studies from different industries and regions, highlighting the revolutionary applications of automation and machine learning in waste management.Harnessing Automation and Machine Learning for Resource Recovery and Value Creation.From Waste to Value is an indispensable resource for researchers, waste management professionals, policymakers interested in learning more about how automation and machine learning can contribute to waste management and the creation of a sustainable future.

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  • Artificial Intelligence in Value Creation : Improving Competitive Advantage
    Artificial Intelligence in Value Creation : Improving Competitive Advantage

    This book analyses various models of value creation in projects and businesses by applying different forms of Artificial Intelligence in their products and services.First presenting the main concepts and ideas behind AI, Wodecki assesses different models of technology-based value creation based upon the analysis of over 400 case studies.This framework shows how AI may influence both value creation and competitive advantage (efficiency, creativity and flexibility) within a modern organization.Finally, a conceptual model is formulated to evaluate AI-supported in-company projects and new ventures and identify the key managerial and technical competencies required.

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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.

  • 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.

  • 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.

  • Does education have no value anymore?

    Education still holds immense value in today's world. It provides individuals with the knowledge and skills needed to succeed in their chosen fields, and it also fosters critical thinking, problem-solving, and communication abilities. Additionally, education opens up opportunities for personal and professional growth, and it plays a crucial role in shaping informed and engaged citizens. While the landscape of education may be evolving, its value remains as important as ever.

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  • Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
    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
    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

    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
    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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  • 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.

  • How can one learn to become an electronics technician for industrial engineering or automation technology?

    To become an electronics technician for industrial engineering or automation technology, one can start by pursuing a relevant educational program, such as an associate degree in electronics engineering technology or industrial automation. These programs typically cover topics such as electrical circuits, industrial control systems, and automation technologies. Additionally, gaining hands-on experience through internships or apprenticeships with companies in the industrial engineering or automation field can provide valuable practical skills. Seeking professional certifications, such as those offered by organizations like the International Society of Automation (ISA) or the Electronics Technicians Association (ETA), can also demonstrate expertise and knowledge in the field. Finally, staying updated with the latest advancements in industrial engineering and automation technology through continuous learning and professional development is essential for a successful career in this field.

  • What is the difference between peak value and root mean square value in electrical engineering?

    In electrical engineering, the peak value refers to the maximum value reached by an alternating current or voltage waveform. This value represents the highest point of the waveform. On the other hand, the root mean square (RMS) value is a measure of the effective value of an alternating current or voltage waveform. It is calculated by taking the square root of the average of the squares of the values of the waveform over a complete cycle. The RMS value is used to represent the equivalent DC value of an AC waveform for power calculations and comparisons.

  • What is another term for value education?

    Another term for value education is moral education. This type of education focuses on teaching students about values, ethics, and morals to help them develop a strong sense of right and wrong. It aims to instill important values such as honesty, respect, responsibility, and empathy in students to help them become well-rounded individuals.

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