Artifi cial Intelligence (AI) has been an exciting fi eld of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. The book also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-of-the-art AI systems and services. Also, there are chapters on computer vision(CV) and natural language processing (NLP), the primary use cases and applicationsof AI. The book has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation,optimization, deployment and observability. Finally, the book deals and describesgenerative AI, the latest buzzword in the IT industry.
The book
presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environments,
articulates and accentuates the most recent developments taking place in the
domain of Artifi cial Intelligence,
covers the noteworthy innovations and disruptions towards Generative Artifi cial
Intelligence (Generative AI),
explains the breakthrough innovations and disruptions towards Artifi cial General
Intelligence (AGI)
and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics.
Artifi cial Intelligence (AI) has been an exciting fi eld of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. The book also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-of-the-art AI systems and services. Also, there are chapters on computer vision(CV) and natural language processing (NLP), the primary use cases and applicationsof AI. The book has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation,optimization, deployment and observability. Finally, the book deals and describesgenerative AI, the latest buzzword in the IT industry.
The book
presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environments,
articulates and accentuates the most recent developments taking place in the
domain of Artifi cial Intelligence,
covers the noteworthy innovations and disruptions towards Generative Artifi cial
Intelligence (Generative AI),
explains the breakthrough innovations and disruptions towards Artifi cial General
Intelligence (AGI)
and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics.
Автор: Clark, Donald Название: Artificial intelligence for learning ISBN: 1398615668 ISBN-13(EAN): 9781398615663 Издательство: Неизвестно Рейтинг: Цена: 46450.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Agkathidis, Asterios Название: Ai-assisted architectural design ISBN: 906369704X ISBN-13(EAN): 9789063697044 Издательство: Laurence King Рейтинг: Цена: 14160.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Название: Ai in social studies education ISBN: 0807786683 ISBN-13(EAN): 9780807786680 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 31730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Whether skeptical or enthusiastic about AI, every social studies educator will find something useful for their practice in this book. The introduction of widely available generative AI tools has caused a frenzy of both positive and negative reactions. Between utopian visions and apocalyptic predictions of AI's impact on education, there is a need to thoughtfully consider what education in the age of AI can and should look like. This volume focuses on the implications of AI technology for teachers in K– 2 and university settings, providing a careful look at its affordances and drawbacks for social studies curriculum and teaching. Scholars specializing in the field of social studies education provide information and practical ideas for teaching with current technology, alongside frameworks for thinking about future iterations of AI. This book fills a critical need, especially among educators, to consider the current and potential future impacts of AI while avoiding the traps of alarmism or techno-utopianism. Book Features: First-ever compilation of AI considerations and strategies in the context of social studies education. Nontechnical explanations of what AI can do (and not do) in practical educational contexts to enable educators to approach its use with careful judgment. Advice for educators to help them assess future iterations of AI technology. Critical considerations of AI across multiple contexts (e.g., ethics, equity, multilingual learners, cybersecurity). Work from leaders in technology and social studies education across Canada and the United States.
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