The Neuroscience Of Learning How Brain Science And Ai Can Elevate Your Learning Epub

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Digital Fluency

If you are curious about the basics of artificial intelligence, blockchain technology, and quantum computing as key enablers for digital transformation, Digital Fluency is your handy guide. The real-world applications of these cutting-edge technologies are expanding rapidly, and your daily life will continue to be affected by each of them. There is no better time than now to get started and become digitally fluent. You need not have previous knowledge of these technologies, as author Volker Lang will expertly guide you through this digital age. He illustrates key concepts and applications in numerous examples and figures throughout Digital Fluency, and the end of each chapter presents you with a helpful implementation checklist of central lessons before proceeding to the next. This book gets to the heart of digital buzzwords and concepts, and tells you what they truly mean. Breaking down topics such as AI-powered automated driving, blockchain-based cryptocurrencies, quantum optimization of urban traffic, and more is imperative to being ready for what the future of industry holds. Whether your own digital transformation journey takes place within your organization, your studies, or your individual household, Digital Fluency maps out a concrete digital action plan for all of your technology and strategy needs.
The Neuroscience of Learning

The Neuroscience of Learning: How Brain Science and AI Can Elevate Your Learning reveals how science-backed techniques can empower us to reach new heights in learning and personal growth.
Artificial Intelligence in Healthcare

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data