{"product_id":"9783032455314","title":"Artificial Intelligence of Everything: Architectures, Algorithms, and Resilience for Critical Systems","description":"\u003ch3\u003eLecture Notes in Electrical Engineering\u003c\/h3\u003e\u003ch1\u003eArtificial Intelligence of Everything: Architectures, Algorithms, and Resilience for Critical Systems\u003c\/h1\u003e\u003ch3\u003eAndriy Luntovskyy | Mikhailo Klymash | Igor Melnyk | Mykola Beshley | Dietbert Gütter\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Electrical\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003eThis new anthology comprises 40 scientific contributions and was created in close cooperation with numerous outstanding scientists from multiple countries: Germany, Ukraine, the UK, Czechia, Slovakia, Poland, Italy, Portugal, France, Latvia, Georgia, Israel, China, and Chad, who have sent us their valuable contributions\u003cbr\u003eThis anthology examines current developments regarding the use of artificial intelligence methods in critical infrastructures and sustainable digital systems. The following themes are examined: applications of machine learning (ML), neural networks (NN), deep learning (DL), AI agenting and AI copilots, and large language models (LLMs) in network technology, social pedagogy, business, education, software engineering, and cybersecurity to foster sustainability and ensure the resilience of critical infrastructures and their services. \u003cbr\u003eFurthermore, the following subjects are discussed:\u003cbr\u003e•    Data science and the \"Artificial Intelligence of Everything\" (AIoE)\u003cbr\u003e•    AI-supported navigation systems for precision farming\u003cbr\u003e•    Quantitative AI approaches in medicine\u003cbr\u003e•    Communication accessibility in AIoE-based critical infrastructures\u003cbr\u003e•    Financial stability, risk management, and regulatory issues\u003cbr\u003e•    Swarm-intelligent nano-systems and other innovative AI applications.\u003cbr\u003eThe target audience of the book is as follows. This anthology is primarily aimed at students, professors and university teachers, as well as professionals, including specialists and executives, working in the fields of network technology, artificial intelligence, data science, IT security, and sustainable digitalization.\u003cbr\u003eFurthermore, the work appeals to a much broader readership. Thanks to its interdisciplinary nature, it offers valuable insights for experts in business and social sciences, engineering, agricultural sciences, and numerous other academic and industrial fields.\u003c\/p\u003e\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e26 March 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032455314\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":63413810987148,"sku":"9783032455314","price":224.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/lateknightbooks.com\/products\/9783032455314","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}