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    Technological Innovation and Sustainability through AI

Technological Innovation and Sustainability through AI

El Arbi Abdellaoui Alaoui
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      This book provides a comprehensive examination of the role of artificial intelligence (AI) in driving technological innovation and promoting sustainability across various industries. The book begins by outlining the foundational principles of AI, exploring its core technologies, and presenting an overview of ethical considerations in AI development and deployment.The book includes sections on: AI in healthcare, which includes advancements in AI-enabled diagnostics, personalized treatment, drug discovery, and predictive modeling for disease outbreaks; AI's potential for social good, examining its role in combating disinformation, enhancing education, supporting humanitarian efforts, and promoting accessibility and inclusion; the future of work, including the dynamics of human-AI collaboration, new job paradigms, and the challenges of AI-driven automation, as well as practical recommendations for upskilling and reskilling the workforce. The book also considers technological advancements that contribute to sustainable development, such as machine learning for energy efficiency, smart grids, and sustainable agriculture. The book emphasizes the need for interdisciplinary collaboration among researchers, industry leaders, and policymakers to harness AI's potential for a sustainable future.Technological Innovation and Sustainability through AI offers a valuable resource for academics, practitioners, and policymakers, providing a holistic understanding of how AI can be leveraged to drive technological innovation and sustainability.

      Format: Hardback CONTRIBUTORS: El Arbi Abdellaoui Alaoui EAN: 9781041091554 COUNTRY: United Kingdom PAGES: 290 WEIGHT: HEIGHT: 254 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-02-12 CITY: GENRE: BUSINESS & ECONOMICS / Development / Sustainable Development, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, SCIENCE / Life Sciences / Ecology, TECHNOLOGY & ENGINEERING / Manufacturing WIDTH: 178 mm SPINE:

      Book Themes:

      Development studies, Applied ecology, Sustainability, Engineering: general, Other manufacturing technologies, Automatic control engineering, Agricultural science, Agricultural engineering and machinery, Computer applications in industry and technology, Artificial intelligence, Neural networks and fuzzy systems

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      El Arbi Abdellaoui Alaoui, a Professor at ENS, Moulay Ismaïl University, research wireless networking, AI, IoT, and smart cities. With a 2017 PhD in Computer Science, he publishes extensively and contributes to the academic community as a reviewer and guest editor.Stéphane C. K. Tékouabou, an Assistant Professor (Senior Lecturer) at the ENS - University of Yaoundé 1, specializes in computer vision, AI, machine learning, and urban engineering. He holds a 2020 Ph.D. from Chouaib Doukkali University and was a PostDoc Researcher at UM6P. He also contributes as an associate editor and journal reviewer.Abdelaaziz Hessane, an Assistant Professor at Moulay Ismail University, specializes in AI, Machine Learning, and Deep Learning, with applications in smart grids, agriculture, and more. He holds a 2024 Ph.D. in Computer Science and has a strong publication record, actively contributing to conferences and journals.Amine SALLAH earned his PhD in Artificial Intelligence in 2024 from the Faculty of Sciences and Technology, Errachidia, Morocco. His research focuses on cybersecurity, AI and machine learning, genetic algorithms, explainable AI (XAI), and LLMs.

      This book provides a comprehensive examination of the role of artificial intelligence (AI) in driving technological innovation and promoting sustainability across various industries. The book begins by outlining the foundational principles of AI, exploring its core technologies, and presenting an overview of ethical considerations in AI development and deployment.The book includes sections on: AI in healthcare, which includes advancements in AI-enabled diagnostics, personalized treatment, drug discovery, and predictive modeling for disease outbreaks; AI's potential for social good, examining its role in combating disinformation, enhancing education, supporting humanitarian efforts, and promoting accessibility and inclusion; the future of work, including the dynamics of human-AI collaboration, new job paradigms, and the challenges of AI-driven automation, as well as practical recommendations for upskilling and reskilling the workforce. The book also considers technological advancements that contribute to sustainable development, such as machine learning for energy efficiency, smart grids, and sustainable agriculture. The book emphasizes the need for interdisciplinary collaboration among researchers, industry leaders, and policymakers to harness AI's potential for a sustainable future.Technological Innovation and Sustainability through AI offers a valuable resource for academics, practitioners, and policymakers, providing a holistic understanding of how AI can be leveraged to drive technological innovation and sustainability.

      Format: Hardback CONTRIBUTORS: El Arbi Abdellaoui Alaoui EAN: 9781041091554 COUNTRY: United Kingdom PAGES: 290 WEIGHT: HEIGHT: 254 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-02-12 CITY: GENRE: BUSINESS & ECONOMICS / Development / Sustainable Development, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Science, SCIENCE / Life Sciences / Ecology, TECHNOLOGY & ENGINEERING / Manufacturing WIDTH: 178 mm SPINE:

      Book Themes:

      Development studies, Applied ecology, Sustainability, Engineering: general, Other manufacturing technologies, Automatic control engineering, Agricultural science, Agricultural engineering and machinery, Computer applications in industry and technology, Artificial intelligence, Neural networks and fuzzy systems

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      El Arbi Abdellaoui Alaoui, a Professor at ENS, Moulay Ismaïl University, research wireless networking, AI, IoT, and smart cities. With a 2017 PhD in Computer Science, he publishes extensively and contributes to the academic community as a reviewer and guest editor.Stéphane C. K. Tékouabou, an Assistant Professor (Senior Lecturer) at the ENS - University of Yaoundé 1, specializes in computer vision, AI, machine learning, and urban engineering. He holds a 2020 Ph.D. from Chouaib Doukkali University and was a PostDoc Researcher at UM6P. He also contributes as an associate editor and journal reviewer.Abdelaaziz Hessane, an Assistant Professor at Moulay Ismail University, specializes in AI, Machine Learning, and Deep Learning, with applications in smart grids, agriculture, and more. He holds a 2024 Ph.D. in Computer Science and has a strong publication record, actively contributing to conferences and journals.Amine SALLAH earned his PhD in Artificial Intelligence in 2024 from the Faculty of Sciences and Technology, Errachidia, Morocco. His research focuses on cybersecurity, AI and machine learning, genetic algorithms, explainable AI (XAI), and LLMs.

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