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Titlebook: Artificial Intelligence; What Is Behind the T Gerhard Paaß,Dirk Hecker Book 2024 The Editor(s) (if applicable) and The Author(s), under exc

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期刊全称Artificial Intelligence
期刊简称What Is Behind the T
影响因子2023Gerhard Paaß,Dirk Hecker
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发行地址The book is an English translation of the successful German title “Künstliche Intelligenz” (2020).Through many images and graphics, it provides a quick technical understanding of AI concepts.Helps the
图书封面Titlebook: Artificial Intelligence; What Is Behind the T Gerhard Paaß,Dirk Hecker Book 2024 The Editor(s) (if applicable) and The Author(s), under exc
影响因子Artificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life – from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. .The English translation of the book “Künstliche Intelligenz – Was steckt hinter der Technologie der Zukunft?” originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. .Mathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future..
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https://doi.org/10.1007/978-3-031-50605-5Artificial Intelligence; BERT; Ethical AI; Data Protection; Deep Learning; Image Recognition; Machine Lear
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978-3-031-50607-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Antikörper-Antigen-Wechselwirkungto solve some Artificial Intelligence subtasks in a satisfactory manner. This chapter provides an informal overview of the state of the art. Of particular importance here is the interpretation of sensor data, such as recognizing objects in photos, diagnosing diseases from images, or transcribing spo
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Antikörper-vermittelte Überempfindlichkeitge objects and determining their position in the image. The majority of DNNs for image processing are Convolutional Neural Networks (CNN). They use layers with small receptive fields (convolutions), which are shifted over the pixel matrix of the input image. They are capable of detecting local image
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