Bentham Books announces the release of High Performance Computing and Sustainability Through Artificial Intelligence , a timely reference exploring how high-performance computing (HPC), artificial intelligence (AI), cloud technologies and cybersecurity can contribute to sustainable and resilient digital infrastructures.
About the Book
The rapid growth of computational technologies is creating new opportunities to address complex sustainability challenges while improving the efficiency and security of digital systems. High Performance Computing and Sustainability Through Artificial Intelligence examines the integration of HPC, AI, cloud computing and cybersecurity to support environmentally responsible and technologically resilient development.
The book explores emerging developments in big data and cloud computing, AI- and IoT-enabled sustainable agriculture, cloud security, data protection and cybersecurity frameworks. It also examines how HPC and AI can contribute to carbon reduction, smart farming and the protection of critical cyber-physical infrastructure, including smart power grids. Ethical, governance and policy considerations surrounding AI-driven computing are also addressed.
Key Highlights
• Integration of HPC, AI and cloud computing for sustainable digital transformation
• Cloud security, risk assessment, auditing and data protection strategies
• AI- and AIoT-enabled approaches for sustainable agriculture and carbon reduction
• Cybersecurity solutions for critical infrastructure and smart power grids
• Ethical, governance and policy considerations in intelligent computing systems
Readership: Researchers, graduate students, computer scientists and professionals working in artificial intelligence, high-performance computing, cloud computing, cybersecurity and sustainable computing.
About the Editors
Jagdish Chandra Patni and Nilesh Bhaskarrao Bahadure bring together research and professional perspectives on emerging computational technologies, artificial intelligence, cybersecurity and sustainable digital systems.
Book Link: https://bit.ly/4ja78sT
DOI: 10.2174/97988988171141260101