Green Artificial Intelligence and Industrial Applications (G-AIIA) Green Artificial Intelligence and Industrial Applications (G-AIIA)
Libro 8 - Artificial Intelligence-Enhanced Software and Systems Engineering

Green Artificial Intelligence and Industrial Applications (G-AIIA‪)‬

    • USD 199.99
    • USD 199.99

Descripción editorial

This proceeding book explores emerging field of Green AI, which emphasizes innovations to make AI more environmentally sustainable. Green AI seeks to mitigate the environmental impact of AI technologies by streamlining algorithms, enhancing hardware efficiency, and adopting eco-friendly data management practices—all while maintaining the high performance that modern AI systems promise. It addresses the challenges and opportunities associated with reducing AI’s energy consumption, lowering carbon emissions, and promoting ethical and responsible AI practices. The book insights into the development of energy-efficient algorithms by design (Green-in-AI) as well as algorithms specifically created to tackle environmental challenges (Green-by-AI). It highlights the potential of Green AI in fostering a more sustainable technological future, which inspires researchers, engineers, and innovators to pursue ideas and solutions that balance technological advancement with environmental stewardship.

GÉNERO
Informática e Internet
PUBLICADO
2025
1 de octubre
IDIOMA
EN
Inglés
EXTENSIÓN
428
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
58.2
MB
Meta Heuristic Techniques in Software Engineering and Its Applications Meta Heuristic Techniques in Software Engineering and Its Applications
2022
Handbook on Artificial Intelligence-Empowered Applied Software Engineering Handbook on Artificial Intelligence-Empowered Applied Software Engineering
2022
Handbook on Artificial Intelligence-Empowered Applied Software Engineering Handbook on Artificial Intelligence-Empowered Applied Software Engineering
2022
Semantic Knowledge Modelling via Open Linked Ontologies Semantic Knowledge Modelling via Open Linked Ontologies
2023
Recent Advances in Data and Algorithms for e-Government Recent Advances in Data and Algorithms for e-Government
2023
Boosting Software Development Using Machine Learning Boosting Software Development Using Machine Learning
2025