Brain-Inspired AI for Sustainable Development

1. Auflage 2026
ISBN: 978-1-041-27548-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 240 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Knowledge-based Engineering for Innovation

This book explores how biologically inspired artificial intelligence, rooted in neuroscience and cognitive science, can drive sustainable innovation aligned with the United Nations Sustainable Development Goals (UN SDGs). It introduces spiking neural networks, neuromorphic hardware, and cognitive architectures, showcasing their applications in healthcare, education, industry, smart cities, and climate systems. It emphasises energy-efficient, ethical, and socially responsible AI design, offering a transformative framework for creating sustainable technological ecosystems. With global case studies, SDG mapping, and a forward-looking Brain-Inspired AI 2030 roadmap, this interdisciplinary work bridges technical rigour with societal vision.

- Comprehensive coverage of Brain-Inspired AI, including spiking neural networks and neuromorphic computing.

- Applications in healthcare, education, smart cities, and climate systems aligned with UN SDGs.

- Ethical and sustainable AI design principles, addressing energy efficiency, bias, and transparency.

- Forward-looking Brain-Inspired AI 2030 roadmap for interdisciplinary collaboration and policy integration.

- Pedagogical tools such as key takeaways, illustrative figures, and SDG mapping for clarity and practical relevance.

The book is for researchers, postgraduate students, policymakers, and industry professionals in AI, cognitive science, sustainability, and governance.

Zielgruppe

Academic

Autoren/Hrsg.

Shaikh, Nuzhat Faiz

Khonde, Shraddha Rahul

Khedkar, Shilpa Prafull

Mahalle, Parikshit

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Technische Informatik Eingebettete Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge

Inhaltsverzeichnis

Chapter 1. Introduction – Brain-Inspired AI and the UN SDG Framework. Chapter 2. Cognitive Architectures and Brain-Inspired Models. Chapter 3. Sustainable AI – Ethics, Energy Efficiency, and Equity. Chapter 4. Brain-Inspired AI in Health and Well-Being. Chapter 5. Cognitive Systems for Sustainable Education and Skill Development. Chapter 6. Brain-Inspired AI in Industry, Infrastructure, and Innovation. Chapter 7. Brain-Inspired AI for Smart Cities, Climate, and Environment. Chapter 8. Neuromorphic Computing and Energy-Aware Systems. Chapter 9. Challenges, Limitations, and Ethical Dilemmas in Applying Brain-Inspired AI to SDGs. Chapter 10. Brain-Inspired AI 2030 – A Roadmap for Sustainable Futures

Über Autor(innen)

Nuzhat Faiz Shaikh is a Professor and Head of the Department of Computer Engineering at Wadia College of Engineering, Pune, India. With over 28 years of academic and research experience, she specializes in Artificial Intelligence, Machine Learning, Natural Language Processing, and Neuro-inspired Computing. She is a recognized Ph.D. guide at S.P. Pune University and has guided numerous postgraduate and doctoral scholars. Dr. Shaikh has authored and edited multiple books, published extensively in reputed journals, and holds numerous patents and copyrights. She is actively involved in curriculum design, faculty development programs, and research initiatives, emphasizing responsible and human-centric AI.

Shraddha Rahul Khonde is an Associate Professor in the Department of Computer Engineering at M.E.S. Wadia College of Engineering, Pune. With over 20 years of teaching experience, she specializes in Data Mining, Information and Network Security, Cybersecurity, and Blockchain Technologies. Dr. Khonde has authored two textbooks aligned with the revised curriculum of SPPU and published extensively in international journals and conferences. She is a life member of ISTE, IET, and CSI.

Shilpa Prafull Khedkar is an Associate Professor in the Department of Computer Engineering at M.E.S. Wadia College of Engineering, Pune. With over two decades of teaching experience, she specializes in Computer Networks, High-Performance Computing, Machine Learning, and Deep Learning. Dr. Khedkar has published extensively in international journals and conferences and serves as a member of the syllabus design committee at SPPU. She is a life member of ISTE.

Parikshit Mahalle is a Professor and Dean Academics at Vishwakarma Institute of Technology, Pune, India. He completed his Ph.D. from Aalborg University, Denmark, and Postdoctoral Research at CMI, Copenhagen, Denmark. With 25 years of teaching and research experience, Dr. Mahalle has authored/edited 75 books, published over 440 research papers, and holds 117 patents. His research interests include Machine Learning, Data Science, IoT, Identity Management, and Security. He has guided eight Ph.D. students and mentored three postdoctoral researchers. Dr. Mahalle is a recipient of multiple awards, including the IEEEICTBIG2024 Distinguished Research Guide Award, and has delivered over 400 lectures at national and international levels.