Products related to Environment:
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Advances of Artificial Intelligence in a Green Energy Environment
Advances of Artificial Intelligence in a Green Energy Environment reviews the new technologies in intelligent computing and AI that are reducing the dimension of data coverage worldwide.This handbook describes intelligent optimization algorithms that can be applied in various branches of energy engineering where uncertainty is a major concern. Including AI methodologies and applying advanced evolutionary algorithms to real-world application problems for everyday life applications, this book considers distributed energy systems, hybrid renewable energy systems using AI methods, and new opportunities in blockchain technology in smart energy. Covering state-of-the-art developments in a fast-moving technology, this reference is useful for engineering students and researchers interested and working in the AI industry.
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Advanced Programming in the UNIX Environment
Practical, in-depth knowledge of the system programming interfaces that drive the UNIX and Linux kernels Building on W.Rich Stevens’ pioneering work, this third edition of the classic was updated by Steve Rago, a colleague of Stevens, to reflect technical advances and best practices aligning with Version 4 of the Single UNIX Specification. This edition covers more than seventy interfaces including: POSIX asynchronous I/OSpin locksBarriersPOSIX semaphores Steve carefully retains the spirit and approach that have made this book so valuable, starting with files, directories, and processes, carefully laying the groundwork for more advanced techniques, such as signal handling and terminal I/O. And he thoroughly covers threads and multithreaded programming, and socket-based IPC. Filled with examples, case-studies, and access to thousands of lines of downloadable code, Advanced Programming in the UNIX® Environment has helped generations of programmers write code with exceptional power, performance, and reliability.
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Body Intelligence : Creating a New Environment
Body Intelligence offers a new understanding of how the body works and leads the reader to a greater sense of wellbeing and an enriched sense of self.The anatomy of the body is explored without the complexity of medical terminology.Instead, common descriptions are used along with a multitude of images, allowing the reader to visualize and work with different levels of the body.Experiential exercises, guided meditations and movements are provided throughout the book, helping the reader to develop improved levels of health and body intelligence that are natural and accessible all the time.As body intelligence increases through these exercises, physical changes occur and a new posture emerges, followed by positive mental and emotional shifts.The reader will begin to feel differently, move differently and think differently. This book will benefit everyone. People experiencing depression, fatigue, emotional issues, stress and anxiety and in fact any condition associated with living in a human body have the potential to be relieved of their symptoms with practice using this book as guidance.
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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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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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Which programming environment for Java?
The choice of programming environment for Java depends on the specific needs and preferences of the developer. Some popular options include Eclipse, IntelliJ IDEA, and NetBeans. Eclipse is known for its flexibility and extensive plugin ecosystem, IntelliJ IDEA is praised for its intelligent code assistance and productivity features, and NetBeans is valued for its simplicity and ease of use. Ultimately, the best programming environment for Java is the one that best suits the individual developer's workflow and requirements.
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What is the Python learning environment?
The Python learning environment refers to the tools and resources available for individuals to learn and practice Python programming. This includes online tutorials, interactive coding platforms, textbooks, and IDEs (Integrated Development Environments) such as PyCharm, Jupyter Notebook, and Visual Studio Code. These environments provide a platform for beginners to write, test, and debug Python code, helping them to develop their programming skills effectively.
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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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Philosophy, Technology, and the Environment
Contributions by prominent scholars examining the intersections of environmental philosophy and philosophy of technology. Environmental philosophy and philosophy of technology have taken divergent paths despite their common interest in examining human modification of the natural world.Yet philosophers from each field have a lot to contribute to the other.Environmental issues inevitably involve technologies, and technologies inevitably have environmental impacts.In this book, prominent scholars from both fields illuminate the intersections of environmental philosophy and philosophy of technology, offering the beginnings of a rich new hybrid discourse.All the contributors share the intuition that technology and the environment overlap in ways that are relevant in both philosophical and practical terms.They consider such issues as the limits of technological interventions in the natural world, whether a concern for the environment can be designed into things, how consumerism relates us to artifacts and environments, and how food and animal agriculture raise questions about both culture and nature.They discuss, among other topics, the pessimism and dystopianism shared by environmentalists, environmental philosophers, and philosophers of technology; the ethics of geoengineering and climate change; the biological analogy at the heart of industrial ecology; green products and sustainable design; and agriculture as a bridge between technology and the environment. ContributorsBraden Allenby, Raymond Anthony, Philip Brey, J.Baird Callicott, Brett Clark, Wyatt Galusky, Ryan Gunderson, Benjamin Hale, Clare Heyward,Don Idhe, Mark Sagoff, Julian Savulescu, Paul B.Thompson, Ibo van de Poel, Zhang Wei,Kyle Powys Whyte
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Food Engineering Automation with Robotics and AI
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Automation and Manufacturing for the Built Environment
Automation and Manufacturing for the Built Environment is a plain-language guide to the application of automation and manufacturing technologies and processes to the delivery and operation of the built environment.Covering the full asset lifecycle, the book provides a straightforward guide to a wide range of technologies, showing where they fit and the benefits that they have, with real-world examples of their applications. Coverage in the book includesnew models to assess the potential benefits and impacts of new technologies, and to consider their implications how automation and manufacturing-led approaches can complement each other to address longstanding construction industry challengesoverview of automation and manufacturing technologies likely to offer greatest value in the short, medium and long-term“no-regret” decisions that can be made today that will be of value in the future, including development of structured product data, logical data models and use of generative design toolsthe crucial roles of planning and connectivity between technologies2035 scenarios based on adoption of different automation and manufacturing-led models. The book also presents assessments on the potential levels of automation that different technologies are likely to deliver up to 2035, the wider benefits they can deliver and impacts on the future of work. Automation and Manufacturing for the Built Environment will be of interest to a wide range of construction professionals seeking information in the very latest developments in the industry, including clients; senior managers; digital leads, information and BIM managers; engineers; architects; and planners.It is equally applicable to small and large enterprises.
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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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Which Java environment is suitable for programming?
The Java Development Kit (JDK) is the most suitable environment for programming in Java. It includes all the necessary tools for developing, debugging, and monitoring Java applications. The JDK also comes with the Java Runtime Environment (JRE), which is needed to run Java applications on a computer. Additionally, the JDK provides access to libraries, documentation, and other resources that are essential for Java development.
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How can one create a programming environment?
One can create a programming environment by setting up the necessary tools and resources for writing, testing, and debugging code. This typically involves installing a code editor or integrated development environment (IDE), a compiler or interpreter for the chosen programming language, and any additional libraries or frameworks that may be needed. Additionally, configuring version control systems, debugging tools, and project management tools can help create a more efficient and productive programming environment. It's also important to consider the hardware and operating system requirements for the programming environment to ensure compatibility and optimal performance.
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How does learning occur in interaction with the environment?
Learning occurs in interaction with the environment through a process of observation, exploration, and experience. When individuals engage with their surroundings, they are able to gather information, make connections, and develop an understanding of the world around them. This interaction allows for the acquisition of new knowledge, skills, and behaviors as individuals adapt and respond to the stimuli present in their environment. Additionally, feedback and reinforcement from the environment can further shape and refine the learning process, leading to the acquisition of new information and the development of cognitive and behavioral abilities. Overall, learning in interaction with the environment is a dynamic and ongoing process that is essential for individual growth and development.
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Is Python a programming environment for compiling line by line?
No, Python is not a programming environment for compiling line by line. Python is an interpreted language, which means that the code is executed line by line without the need for a separate compilation step. This makes Python a great language for rapid development and testing, as changes to the code can be immediately seen without the need to recompile the entire program.
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