Products related to Artificial:
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Human Factors in Engineering : Manufacturing Systems, Automation, and Interactions
This book addresses aspects of human factors in engineering and provides a detailed discussion of novel approaches, systems engineering tools, artificial cognitive systems, and intelligent technologies and automation.It presents applications in diverse areas, including digital manufacturing, transportation, infrastructure development, and cybersecurity. This book:• Merges the engineering perspective with the human factors and social dimension of computing and artificial intelligence–based technologies. • Covers technological development of human factors engineering and the human dimension in applications across all areas of modern society. • Relates to human behavior in the context of technology and systems interactions. • Discusses the design and the appropriation of 3D printing techniques in the management of an innovative product system. • Presents systems engineering tools, user experience methodologies, artificial cognitive systems, intelligent technologies, and automation. The text is for students, professionals, and researchers in the fields of ergonomics, human factors, industrial engineering, and manufacturing engineering.
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Artificial Intelligence, Engineering Systems and Sustainable Development : Driving the UN SDGs
Development in any country is impossible if reliable and affordable energy, safe water and sanitation, as well as telecommunication facilities, are not easily accessible.Artificial intelligence and machine learning techniques are now widely used in all branches of engineering to build and optimize systems.The combination of AI and engineering can indeed act as a real catalyst to achieve the UN SDGs. The volume editors present an analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs.Topics covered include sustainable crop production and consumption, AI based clean water and sanitation monitoring, intelligent transport systems and achieving affordable and clean energy through AI and 5G powered internet of energy. Such a study is of paramount importance and is a valuable source of information for researchers, engineers, and policy makers to be able to better design and adopt AI enabled techniques in different engineering areas, with a view to catalyze the achievement of the UN SDGs.
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Software Test Automation : Software Test Automation
This book describes how to build and implement an automated testing regime for software development.It presents a detailed account of the principles of automated testing, practical techniques for designing a good automated testing regime, and advice on choosing and applying off-the-shelf testing tools to specific needs.This sound and practical introduction to automated testing comes from two authors well known for their seminars, consultancy and training in the field.
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Artificial Intelligence in Civil Engineering
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What do you think about the development of Artificial Intelligence?
The development of Artificial Intelligence (AI) has the potential to revolutionize various industries and improve efficiency in many aspects of our lives. However, it also raises concerns about job displacement, privacy, and ethical considerations. It is important for the development of AI to be guided by ethical principles and for regulations to be put in place to ensure that it is used responsibly. Overall, the development of AI has the potential to bring about significant advancements, but it is crucial to approach it with caution and consideration for its potential impact on society.
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Is there artificial stupidity if there is artificial intelligence?
Yes, there can be artificial stupidity if there is artificial intelligence. Artificial stupidity can be seen as the result of errors or limitations in the programming or functioning of artificial intelligence systems. Just as artificial intelligence aims to replicate human intelligence, artificial stupidity can arise from the replication of human errors or limitations in the AI systems. This can manifest in various ways, such as incorrect decision-making, flawed reasoning, or inability to learn from mistakes. Therefore, the presence of artificial intelligence does not guarantee the absence of artificial stupidity.
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What is artificial intelligence and what are artificial problems?
Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI systems can be designed to learn from data, adapt to new inputs, and perform tasks with minimal human intervention. Artificial problems, on the other hand, are challenges or obstacles that arise in the development and implementation of AI systems. These problems can include issues related to data quality and availability, algorithmic bias, ethical considerations, and the potential impact of AI on the job market and society. Addressing these artificial problems is crucial for the responsible and effective deployment of AI technologies.
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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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Human Machine Collaboration and Interaction for Smart Manufacturing : Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain
Advanced technologies such as robotics, 5G mobile communications, IoT, cloud computing and wireless sensor networks have had a huge impact and influence on manufacturing, with an increased collaboration between humans and smart systems.As the manufacturing process becomes more automated using real-time data, communication systems, Artificial Intelligence (AI) techniques and robotics feed data back into the manufacturing process.This enables the design of products that are more customized and personal, and leads to a more competitive, efficient and value-added production process by reacting more quickly to technical or human errors to avoid product and system damage while increasing workplace safety, and reducing waste, pollution, and associated costs. This edited book covers challenges, concepts, systems, architectures, technologies, and design characteristics of human-machine cooperation and interaction systems in smart manufacturing environments using state of the art technologies including AI, 5G, IoTs, Blockchains, CPS, sensing, automation and robotics. The book is aimed at researchers and engineers working on the applications of robotics and automation, HMI, HCI, CPS, sensing, information and communications technology, data science, ML/DL/AI, AR/VR, cybersecurity and electronics.It is also a useful reference for advanced students and lecturers in these fields, and will appeal to manufacturers and automation system developers.
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Augmented Exploitation : Artificial Intelligence, Automation and Work
Artificial Intelligence is a seemingly neutral technology, but it is increasingly used to manage workforces and make decisions to hire and fire employees.Its proliferation in the workplace gives the impression of a fairer, more efficient system of management.A machine can't discriminate, after all. Augmented Exploitation explores the reality of the impact of AI on workers' lives.While the consensus is that AI is a completely new way of managing a workplace, the authors show that, on the contrary, AI is used as most technologies are used under capitalism: as a smokescreen that hides the deep exploitation of workers. Going beyond platform work and the gig economy, the authors explore emerging forms of algorithmic governance and AI-augmented apps that have been developed to utilise innovative ways to collect data about workers and consumers, as well as to keep wages and worker representation under control.They also show that workers are not taking this lying down, providing case studies of new and exciting form of resistance that are springing up across the globe.
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Artificial Intelligence Technologies for Engineering Applications
The reference text will enable the readers to design, optimize, and control complex systems with greater precision and efficiency.It further provides practical insights and presents case studies for readers interested in exploring the intersections between artificial intelligence and industry.The book discusses important topics such as algorithmic design, mathematical modeling, natural language processing, machine learning, and computer vision. This book:Explores practical applications of artificial intelligence in engineering, including optimization, predictive modeling, decision-making, and control systems. Provides real-world examples of artificial intelligence applications in engineering, drawing from a range of industries including aerospace, automotive, and manufacturing.Discusses technologies such as machine learning, and computer vision for aircraft design optimization, fault diagnosis, and autonomous navigation.Explains natural language processing for analyzing and optimizing building systems, while robotics can be used for construction automation.Presents artificial intelligence technologies for optimization of manufacturing processes, predictive maintenance, and quality control.It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.
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Patterns in the Machine : A Software Engineering Guide to Embedded Development
Discover how to apply software engineering patterns to develop more robust firmware faster than traditional embedded development approaches.In the authors’ experience, traditional embedded software projects tend towards monolithic applications that are optimized for their target hardware platforms.This leads to software that is fragile in terms of extensibility and difficult to test without fully integrated software and hardware.Patterns in the Machine focuses on creating loosely coupled implementations that embrace both change and testability. This book illustrates how implementing continuous integration, automated unit testing, platform-independent code, and other best practices that are not typically implemented in the embedded systems world is not just feasible but also practical for today’s embedded projects. After reading this book, you will have a better idea of how to structure your embedded software projects.You will recognize that while writing unit tests, creating simulators, and implementing continuous integration requires time and effort up front, you will be amply rewarded at the end of the project in terms of quality, adaptability, and maintainability of your code.What You Will Learn Incorporate automated unit testing into an embedded projectDesign and build functional simulators for an embedded projectWrite production-quality software when hardware is not availableUse the Data Model architectural pattern to create a highly decoupled design and implementationUnderstand the importance of defining the software architecture before implementation starts and how to do itDiscover why documentation is essential for an embedded projectUse finite state machines in embedded projects Who This Book Is ForMid-level or higher embedded systems (firmware) developers, technical leads, software architects, and development managers.
Price: 39.99 £ | Shipping*: 0.00 £
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In automation, which software is it?
In automation, the software used is typically referred to as automation software or automation tools. These tools are designed to automate repetitive tasks, streamline processes, and increase efficiency in various industries. Some popular examples of automation software include UiPath, Blue Prism, Automation Anywhere, and Selenium. These tools often use technologies such as robotic process automation (RPA) and artificial intelligence to mimic human actions and perform tasks with minimal human intervention.
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Software or hardware?
When deciding between software and hardware, it ultimately depends on the specific needs and goals of the user. Software provides flexibility, scalability, and ease of updates, making it ideal for tasks that require frequent changes or updates. On the other hand, hardware offers reliability, security, and performance for tasks that require high processing power or data storage. It is important to carefully evaluate the requirements of the project or task at hand to determine whether software or hardware is the best solution.
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'Software or hardware?'
The choice between software and hardware depends on the specific needs and goals of the user. Software provides flexibility and can be easily updated or customized, while hardware offers physical components that may be more reliable and provide better performance for certain tasks. Ultimately, the decision between software and hardware should be based on the specific requirements of the user and the intended use of the technology.
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'Artificial turf or velour?'
Artificial turf and velour are two different materials commonly used in different applications. Artificial turf is often used in outdoor spaces such as sports fields and playgrounds, providing a durable and low-maintenance alternative to natural grass. On the other hand, velour is a plush fabric often used in clothing, upholstery, and drapery for its soft texture and luxurious appearance. The choice between artificial turf and velour would depend on the specific needs and preferences of the project, with artificial turf being more suitable for outdoor landscaping and velour being more appropriate for indoor decor and fashion.
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