Raygoza L Maria E (29 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New.

Paperback. Condition: New.

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Paperback. Condition: new. Paperback. The convergence of semiconductors, energy, and artificial intelligence (AI) creates a more sustainable and technologically advanced future. As the demand for computing power and energy efficiency grows, innovations in semiconductor design and manufacturing enable greener AI systems and smarter energy solutions. From optimizing power grids to reducing carbon footprints, this intersection offers potential across industries. Building a sustainable future requires collaboration among scientists, engineers, and policymakers to balance performance, efficiency, and environmental responsibility in the digital age. Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI explores the role AI and semiconductors in enhancing energy efficiency, sustainability, and environmental preservation. It examines AI-driven solutions for energy consumption optimization, renewable energy integration, storage systems, and electromobility, addressing the growing electricity demand while mitigating emissions. This book covers topics such as smart technology, environmental science, and renewable energy, and is a useful resource for engineers, business owners, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Hardcover. Condition: new. Hardcover. The convergence of semiconductors, energy, and artificial intelligence (AI) creates a more sustainable and technologically advanced future. As the demand for computing power and energy efficiency grows, innovations in semiconductor design and manufacturing enable greener AI systems and smarter energy solutions. From optimizing power grids to reducing carbon footprints, this intersection offers potential across industries. Building a sustainable future requires collaboration among scientists, engineers, and policymakers to balance performance, efficiency, and environmental responsibility in the digital age. Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI explores the role AI and semiconductors in enhancing energy efficiency, sustainability, and environmental preservation. It examines AI-driven solutions for energy consumption optimization, renewable energy integration, storage systems, and electromobility, addressing the growing electricity demand while mitigating emissions. This book covers topics such as smart technology, environmental science, and renewable energy, and is a useful resource for engineers, business owners, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI | María E. Raygoza-L. (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337334820 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condition: Neu. Exploring Psychology, Social Innovation and Advanced Applications of Machine Learning | Maria E. Raygoza-L. (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798369369111 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Buch. Condition: Neu. Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI | María E. Raygoza-L. (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337334813 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The convergence of semiconductors, energy, and artificial intelligence (AI) creates a more sustainable and technologically advanced future. As the demand for computing power and energy efficiency grows, innovations in semiconductor design and manufacturing enable greener AI systems and smarter energy solutions. From optimizing power grids to reducing carbon footprints, this intersection offers potential across industries. Building a sustainable future requires collaboration among scientists, engineers, and policymakers to balance performance, efficiency, and environmental responsibility in the digital age. Building a Sustainable Future at the Intersection of Semiconductors, Energy, and AI explores the role AI and semiconductors in enhancing energy efficiency, sustainability, and environmental preservation. It examines AI-driven solutions for energy consumption optimization, renewable energy integration, storage systems, and electromobility, addressing the growing electricity demand while mitigating emissions. This book covers topics such as smart technology, environmental science, and renewable energy, and is a useful resource for engineers, business owners, academicians, researchers, and scientists. …

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning (ML algorithms can be used to better understand human behavior in its various developmental stages and to assist in addressing psychological issues. Additionally, in the realm of mental health and well-being, algorithms can assist with early detection of disorders and customization of treatments as well as personalize recommendations and suggestions based on user behavior. By focusing on user experience and usability, ML may be used to address challenges faced by private enterprises and social issues. Exploring Psychology, Social Innovation and Advanced Applications of Machine Learning explores the relationships between human psychology and machine learning technology, enabling researchers to delve into areas such as user interface design, ethics in artificial intelligence, and the social impact of algorithms. Furthermore, it promotes interdisciplinary collaboration by bringing together perspectives from different fields, which could stimulate new research and innovative approaches in the field of machine learning. Covering topics such as industrial processes, digital therapy, and machine vision, this book is an excellent resource for psychologists, computer scientists, engineers, healthcare practitioners, educators, business leaders, policymakers, professionals, researchers, scholars, academicians, and more.…

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning (ML algorithms can be used to better understand human behavior in its various developmental stages and to assist in addressing psychological issues. Additionally, in the realm of mental health and well-being, algorithms can assist with early detection of disorders and customization of treatments as well as personalize recommendations and suggestions based on user behavior. By focusing on user experience and usability, ML may be used to address challenges faced by private enterprises and social issues. Exploring Psychology, Social Innovation and Advanced Applications of Machine Learning explores the relationships between human psychology and machine learning technology, enabling researchers to delve into areas such as user interface design, ethics in artificial intelligence, and the social impact of algorithms. Furthermore, it promotes interdisciplinary collaboration by bringing together perspectives from different fields, which could stimulate new research and innovative approaches in the field of machine learning. Covering topics such as industrial processes, digital therapy, and machine vision, this book is an excellent resource for psychologists, computer scientists, engineers, healthcare practitioners, educators, business leaders, policymakers, professionals, researchers, scholars, academicians, and more.…