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  • Thinking through Technology : The Path between Engineering and Philosophy
    Thinking through Technology : The Path between Engineering and Philosophy

    What does it mean to think about technology philosophically?Why try? These are the issues that Carl Mitcham addresses in this work, a comprehensive, critical introduction to the philosophy of technology and a discussion of its sources and uses.Tracing the changing meaning of "technology" from ancient times to the modern day, Mitcham identifies the most important traditions of critical analysis of technology: the engineering approach, which assumes the centrality of technology in human life; and the humanities approach, which is concerned with its moral and cultural boundaries.Mitcham bridges these two traditions through an analysis of discussions of engineering design, of the distinction between tools and machines, and of engineering science itself.He looks at technology as it is experienced in everyday life: as material objects (from kitchenware to computers); as knowledge (including recipes, rules, theories and intuitive "know-how"); as activity (design, construction and use); and as volition (knowing how to use technology and understanding its consequences). By elucidating these multiple aspects, Mitcham establishes criteria for a more comprehensive analysis of ethical issues in applications of science and technology.

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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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  • 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.

  • What is the Second Education Path?

    The Second Education Path is an alternative educational pathway for individuals who did not complete their formal education. It provides opportunities for adults to earn a high school diploma or equivalent credential through adult education programs, online courses, or competency-based assessments. This pathway allows individuals to continue their education and improve their career prospects, even if they did not finish high school the first time around. It is designed to be flexible and accessible for individuals who may have other responsibilities such as work or family.

  • What is the second education path?

    The second education path refers to alternative routes to traditional higher education, such as vocational training, apprenticeships, online courses, and certifications. This path allows individuals to gain practical skills and knowledge in a specific field without pursuing a traditional college degree. It is a valuable option for those looking to enter the workforce quickly or switch careers without committing to a full-time degree program.

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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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  • Artificial Intelligence And Innovation Management
    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
    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
    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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  • Which career path in mechanical engineering is the easiest?

    It is difficult to determine which career path in mechanical engineering is the easiest as it largely depends on an individual's strengths, interests, and skills. However, some may find that a career in HVAC (heating, ventilation, and air conditioning) engineering or product design and development may be more straightforward compared to other specializations. These paths may involve less complex technical challenges and may be more focused on practical applications and problem-solving. Ultimately, the "easiest" career path in mechanical engineering will vary from person to person.

  • What is the career path after a technical education?

    After completing a technical education, individuals can pursue various career paths depending on their field of study. They can work as technicians, engineers, or technologists in industries such as manufacturing, construction, healthcare, or information technology. With experience and further education, they can advance to supervisory or managerial roles, or even transition into specialized areas such as research and development or consulting. Continuous learning and staying updated with the latest technologies are essential for career growth in the technical field.

  • What is the right path for a second education?

    The right path for a second education depends on the individual's goals, interests, and circumstances. Some may choose to pursue a traditional degree program at a university or college, while others may opt for vocational training or certification programs. It's important to consider factors such as the desired career field, financial resources, and time commitment when deciding on the right path for a second education. Additionally, seeking guidance from career counselors or mentors can help in making an informed decision. Ultimately, the right path for a second education is one that aligns with the individual's aspirations and leads to personal and professional growth.

  • Which path should one take after completing their education?

    After completing their education, individuals should consider their interests, skills, and career goals to determine the best path for them. Some may choose to enter the workforce and start their careers, while others may pursue further education or training to specialize in a particular field. It's important to carefully consider the options and make a decision that aligns with one's personal and professional aspirations. Additionally, seeking guidance from mentors, career counselors, and professionals in the desired field can provide valuable insights and help in making an informed decision.

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