Products related to Technology:
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Brain Technology in Augmented Cognition : Current and Future Trends
Brain Technology in Augmented Cognition: Current and Future Trends informs engineers interested in human-computer interaction about the current state of augmented cognition.Its scope includes recent advances in electroencephalography (EEG), neural network (NN), and brain-computer interface (BCI) brain technologies. The title explores in detail each technological approach to augmented cognition and offers conclusions to them, summarizing the work and their respective futures.Augmented cognition research often includes the use of brain technology, and this book addresses advances in augmented cognition and its applications.It details recent uses of EEG, NN, and BCI in the field and how they may augment user, researcher, and practitioner cognition.Focusing on the use of EEG for eye-tracking, NN logic, and the BCI application of motor-imagery (MI) and discussing challenges and opportunities relevant to such applications, the title is a useful introduction to the subject matter. This is an engaging read for any student, researcher or academic in the fields of engineering, augmented cognition, human-computer interaction and human factors/ergonomics who will learn the basics and key concepts of augmented cognition through this simple and straightforward title.
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Economics : Productivity and Technology Shocks
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Computational Design : Technology, Cognition and Environments
New computational design tools have evolved rapidly and been increasingly applied in the field of design in recent years, complimenting and even replacing the traditional design media and approaches.Design as both the process and product are changing due to the emergence and adoption of these new technologies.Understanding and assessing the impact of these new computational design environments on design and designers is important for advancing design in the contemporary context.Do these new computational environments support or hinder design creativity?How do those tools facilitate designers’ thinking? Such knowledge is also important for the future development of design technologies.Research shows that design is never a mysterious non-understandable process, for example, one general view is that design process shares a common analysis-synthesis-evaluation model, during which designers interact between design problem and solution spaces.Understanding designers’ thinking in different environments is the key to design research, education and practice.This book focuses on emerging computational design environments, whose impact on design and designers have not been comprehensively and systematically studied.It comprises three parts. The history and recent developments of computational design technologies are introduced in Part I.The main categories of technologies cover from computer-aided drafting and modelling tools, to visual programming and scripting tools for algorithmic design, to advanced interfaces and platforms for interactions between designers, between designers and computers, and between the virtual environment and the physical reality.To critically explore design thinking, especially in these new computational design environments, formal approaches to studying design thinking and design cognition are introduced and compared in Part II, drawing on literature and studies from the 70s to the current era.Part III concludes the book by exploring the impact of different computational design technologies on design and designers, using a series of case studies conducted by the author team building on their close collaboration over the past five years.The book offers new insights into designers’ thinking in the rapidly evolving computational design environments, which have not been critically and systematically studied and reported in the current literature.The book is meant for design researchers, educators and students, professional practitioners and consultants, as well as people who are interested in computational design in general.
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Digital Education : Security, Readiness, and Technology Enhancement
With the onset of the COVID-19 pandemic, the education world has had to adjust to remote learning.This new book provides important research on digital pedagogies and assessment to demonstrate how technology can be effectively employed for an effective global digital learning environment. This new title brings together professional scientists and senior researchers to discuss the challenges today’s teachers and teacher-educators face in their practice.It also provides vital guidance to universities on how to develop faculty capacity to teach online.It addresses on-line learning and on-line teaching modes using the latest research, helping faculty members to design an effective digital teaching modes using evidence-based practices. Based on the expanding prospect to respond to the rise of online enrollments and the decline of face-to face education, this new book provides an important overview of digital technology-enhanced education for the 21st century STEM teachers.It examines the modern aspects of online learning by adjusting teaching practices to reflect the growing role of digital technologies.The book also features student interaction and discussion of its core themes by providing a comprehensive understanding of the technological capabilities available to them and includes research-informed and evidence-based technology integration models and instructional strategies. Readers of this reference book will learn how to adjust their practices to reflect the increasing role of digital technologies and will be encouraged to consider how digital education can prepare us all for a modern and completely new ‘information society.’ This new book is written for distance education courses for better managing online educational systems and provides readers with advanced information needed for e-learning programs in a manner that they will be capable of distinguishing among proper applications of distance education.This book is intended to support fair access to engaging digital-age education opportunities for instructional designers, faculty developers and STEM learners who take an active interest in improving online teaching.
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What is the designation for a specialist in metal technology with a focus on machining technology?
The designation for a specialist in metal technology with a focus on machining technology is typically referred to as a "machinist" or "metal machinist." These professionals are skilled in using various tools and machines to shape and manipulate metal materials to create precision parts and components. They are trained in the use of lathes, milling machines, grinders, and other equipment to produce metal products according to specific design specifications. Machinists play a crucial role in the manufacturing industry, contributing to the production of a wide range of metal components used in various applications.
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What do you prefer to focus on: technology or nature?
I prefer to focus on nature. I find peace and tranquility in the natural world, and I enjoy spending time outdoors, exploring and appreciating the beauty of the environment. While technology has its benefits, I believe that connecting with nature is essential for my well-being and helps me feel grounded and rejuvenated.
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Currently, the focus of the technology is on the French branch.
The current focus of the technology is on the French branch, where efforts are being concentrated to enhance operations, improve efficiency, and drive innovation within the branch. This strategic focus on the French branch aims to leverage technology to streamline processes, optimize performance, and deliver value to customers in the region. By prioritizing the French branch, the company can strengthen its presence in the market, foster growth, and stay ahead of competitors in the region.
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Can I pursue a business education with a focus on technology?
Yes, you can pursue a business education with a focus on technology. Many business schools offer specialized programs or concentrations in technology management, information systems, or technology entrepreneurship. These programs provide a strong foundation in business principles while also incorporating coursework in technology-related topics such as data analytics, digital marketing, and innovation management. Graduates with this combination of skills are well-equipped to pursue careers in technology-driven industries or to start their own tech-focused businesses.
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Neurodiversity and Technology : Neuroscience-led strategies for parents
How do I set appropriate technology boundaries with my neurodivergent child?What is the relationship between screen time and meltdowns?How can I best help my child transition in and out of screen use without dysregulating?Appropriate technology use is a huge issue for many parents, especially those with neurodivergent children. Beatrice Moise, neurodivergent author, mother to neurodivergent children and parent-expert for NBC, is here to provide practical, non-judgemental advice on engaging with technology in a positive way.Drawing on her own lived experience, this parental survival guide helps you unpick the relationship between screen time and behaviour, reinforce positive behaviours, and draw boundaries when needed.
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Kingston Technology Memory 256MB
Kingston Technology Memory 256MB
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Theoretical Neuroscience : Understanding Cognition
This textbook is an introduction to Systems and Theoretical/Computational Neuroscience, with a particular emphasis on cognition.It consists of three parts: Part I covers fundamental concepts and mathematical models in computational neuroscience, along with cutting-edge topics.Part II explores the building blocks of cognition, including working memory (how the brain maintains and manipulates information "online" without external input), decision making (how choices are made among multiple options under conditions of uncertainty and risk) and behavioral flexibility (how we direct attention and control actions).Part III is dedicated to frontier research, covering models of large-scale multi-regional brain systems, Computational Psychiatry and the interface with Artificial Intelligence.The author highlights the perspective of neural circuits as dynamical systems, and emphasizes a cross-level mechanistic understanding of the brain and mind, from genes and cell types to collective neural populations and behavior.Overall, this textbook provides an opportunity for readers to become well versed in this highly interdisciplinary field of the twenty-first century. Key FeaturesRooted in the most recent advances in experimental studies of basic cognitive functionsIntroduces neurobiological and mathematical concepts so that the book is self-containedHeavily illustrated with high-quality figures that help to illuminate neurobiological concepts, present experimental findings and explain mathematical modelsConcludes with a list of core cognitive behavior tasks, ten take-home messages and three open questions for future researchComputer model codes are available via GitHub for hands-on practice
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Theoretical Neuroscience : Understanding Cognition
This textbook is an introduction to Systems and Theoretical/Computational Neuroscience, with a particular emphasis on cognition.It consists of three parts: Part I covers fundamental concepts and mathematical models in computational neuroscience, along with cutting-edge topics.Part II explores the building blocks of cognition, including working memory (how the brain maintains and manipulates information "online" without external input), decision making (how choices are made among multiple options under conditions of uncertainty and risk) and behavioral flexibility (how we direct attention and control actions).Part III is dedicated to frontier research, covering models of large-scale multi-regional brain systems, Computational Psychiatry and the interface with Artificial Intelligence.The author highlights the perspective of neural circuits as dynamical systems, and emphasizes a cross-level mechanistic understanding of the brain and mind, from genes and cell types to collective neural populations and behavior.Overall, this textbook provides an opportunity for readers to become well versed in this highly interdisciplinary field of the twenty-first century. Key FeaturesRooted in the most recent advances in experimental studies of basic cognitive functionsIntroduces neurobiological and mathematical concepts so that the book is self-containedHeavily illustrated with high-quality figures that help to illuminate neurobiological concepts, present experimental findings and explain mathematical modelsConcludes with a list of core cognitive behavior tasks, ten take-home messages and three open questions for future researchComputer model codes are available via GitHub for hands-on practice
Price: 210.00 £ | Shipping*: 0.00 £
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Should I learn wood technology or carpentry technology?
The decision between learning wood technology or carpentry technology depends on your interests and career goals. Wood technology focuses on the science and engineering of wood materials, including processing, preservation, and utilization. This field is more research and industry-oriented, with opportunities in manufacturing, product development, and quality control. On the other hand, carpentry technology is more hands-on and practical, focusing on the skills and techniques needed for construction and woodworking projects. If you are more interested in the technical and scientific aspects of wood, then wood technology may be the better choice. However, if you enjoy working with your hands and want to pursue a career in construction or woodworking, then carpentry technology may be the better fit for you.
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Is induction technology more durable than ceramic glass technology?
Induction technology is generally considered more durable than ceramic glass technology. This is because induction cooktops are made with a tough glass-ceramic material that can withstand high temperatures and is less prone to scratches and cracks. Additionally, induction cooktops have fewer parts that can wear out over time compared to ceramic glass cooktops, making them more reliable in the long run. Overall, induction technology is known for its durability and longevity compared to ceramic glass technology.
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After the emerging quantum technology, which technology will follow?
After the emerging quantum technology, it is likely that the next big technology will be in the field of artificial intelligence and machine learning. As quantum computing becomes more advanced and accessible, it will enable the development of more powerful AI algorithms and systems. This could lead to significant advancements in areas such as autonomous vehicles, healthcare, and robotics. Additionally, there may also be a focus on biotechnology and genetic engineering as the next frontier in technological innovation.
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What is the complexity of semiconductor technology or microsystems technology?
The complexity of semiconductor technology or microsystems technology is high due to the intricate processes involved in designing, manufacturing, and integrating tiny electronic components. These technologies require precise control at the nanoscale level, involving complex materials, intricate fabrication techniques, and sophisticated equipment. Additionally, the rapid pace of innovation and the need for continuous improvement in performance and miniaturization add to the complexity of these technologies. As a result, semiconductor and microsystems technology require significant expertise, resources, and investment to develop and produce advanced electronic devices.
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