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Artificial Intelligence Frontiers: Innovations, Challenges, and Applications de Jeff Saltz

Artificial Intelligence Frontiers: Innovations, Challenges, and Applications: Advances in Computational Collective Intelligence

Editat de Jeff Saltz, Jasmina Tacheva, Shamik Tiwari, Anurag Jain
en Limba Engleză Hardback – 17 dec 2026
Artificial Intelligence (AI) has emerged as one of the most transformative technologies of the 21st century, revolutionizing fields such as finance, healthcare, security, and human-centered decision systems. As AI continues to evolve, its applications increasingly integrate machine learning, deep learning, cognitive sciences, and data-driven analytics. Artificial Intelligence Frontiers: Innovations, Challenges, and Applications presents a comprehensive compilation of cutting-edge research exploring new AI technologies, their applications, and implementation challenges.
The book examines diverse AI applications across multiple domains. It begins with neural networks for financial risk assessment and decision-making, then explores multimodal AI systems that integrate vision, text, and speech to enhance machine cognition. Additional chapters address predictive modeling using Long Short-Term Memory networks and deep learning applications in computer vision, including road lane detection and deepfake detection.
Beyond technical innovations, the book investigates AI’s role in healthcare and social sciences, covering perinatal depression analysis and neurodevelopmental disorder diagnosis in India. These contributions demonstrate AI’s potential for early detection, improved diagnostics, and data-driven healthcare interventions.
Recognizing the growing importance of responsible AI, subsequent chapters address critical issues of transparency, explainability, privacy, and ethical governance. Discussions on explainable AI, trustworthy human-centric systems, and regulatory frameworks for data protection emphasize the essential balance between technological innovation and ethical accountability.
By consolidating perspectives from researchers, practitioners, and scholars, this book provides readers with comprehensive insights into AI’s transformative nature. It serves as an invaluable resource for students, researchers, and professionals seeking to understand the latest advances, current policies, and ethical considerations shaping AI’s future.
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Specificații

ISBN-13: 9781041115519
ISBN-10: 1041115512
Pagini: 210
Ilustrații: 50
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Seria Advances in Computational Collective Intelligence

Public țintă

Academic

Cuprins

1. Neural Networks for Individual Risk Assessment in Financial Decision-Making 2. Multimodal AI: Integrating Vision, Text, and Speech 3. Long Short-Term Memory Model-Based Planet Trajectory Prediction 4. Deep Learning: Powered Road Lane Detection via YOLO Box Predictions 5. Deepfake Detection Using Deep Learning and Machine Learning Algorithms 6. Unveiling Perinatal Depression: Causes, Consequences, and Interventions 7. Recent Trends in Artificial Intelligence for Neurodevelopmental Disabilities (NDD) Diagnosis (2015-2025): An Indian Perspective 8. Emerging Technologies to Ensure AI Transparency 9. Bridging Trust and Transparency: Explainability in Human-Centric AI Systems 10. AI, Privacy, and Data Protection in the Age of Industry 5.0: A Comparative Legal Perspective from India and Global Frameworks

Notă biografică

Dr. Jeffrey Saltz is a professor at Syracuse University. His research focuses on the socio-technical issues relating to AI and data science, such as how to effectively leverage AI and data science within an organizational context and how teams should work together to “do” data science and AI projects. His more than 20 years of industry information systems experience has often focused on building new teams that leverage emerging technologies to deliver innovative business solutions. In his last corporate role, he worked at JPMorgan Chase (JPMC). At JPMC, he reported to the firm’s chief information officer while helping to drive innovation throughout the firm. He also held several other key technology management positions at the company, including CTO (Consumer and Community Banking Risk Management), chief information architect (Chase Financial Services), global head of eBusiness technology, and vice president of computational technology. He previously served as chief technology officer and principal investor at Goldman Sachs/Goldman Sachs Ventures, where he invested and helped incubate technology start-ups. He started his career as a programmer, project leader, and consulting engineer with Digital Equipment Corp (now part of Hewlett-Packard).
Dr. Jasmina Tacheva is an assistant professor in the School of Information Studies, Syracuse University. She studied Philosophy, Economics, and German at Canisius College and earned her Ph.D. from the University at Buffalo’s (UB) School of Management, where she was part of the NAVIGATE Project, an NSF-sponsored initiative for supporting women in STEM. During her time at UB, she co-organized the Annual Social Sciences and Humanities Symposium and won the 2018 UB World’s Challenge with ElevateHer—a data science education project for women in developing countries in collaboration with software engineer Manjusha Raveendran and structural engineer and founder of Women Engineers Pakistan Ramla Qureshi. Her research on the social networks of digital volunteers on Twitter won the best poster award at that year’s Northeast Regional Conference on Complex Systems.
Dr. Shamik Tiwari, dean and professor at the Unitedworld Institute of Technology, Karnavati University, Gandhinagar, brings over two decades of comprehensive expertise spanning research, teaching, academic leader
ship, and administration. His research excellence has earned him recognition among the world’s top 2% of scientists in the Stanford–Elsevier global ranking for four consecutive years, from 2023 to 2026.
Dr. Tiwari’s research expertise encompasses diverse areas including data analytics, statistical modeling, predictive modeling, machine learning, deep learning, natural language processing, image processing, computer vision, and data visualization. His work focuses on developing intelligent and data-driven solutions with significant applications in healthcare and emerging technologies. His research contributions include work in healthcare diagnostics and intelligent systems, particularly in areas such as COVID-19, Alzheimer’s disease, skin cancer classification, cardiac arrhythmia detection, and diabetic retinopathy. His notable research initiatives include the development of non-invasive diagnostic solutions for diabetic retinopathy using lightweight intelligent applications and fundus photography. Through his research, teaching, and academic leadership, Dr. Tiwari continues to contribute to the advancement of artificial intelligence, machine learning, data science, image processing, and intelligent healthcare technologies, while mentoring researchers and students and promoting innovation in computer science and engineering.
Dr. Anurag Jain is a professor in the School of Computer Science & Engineering at IILM University, Gurugram, Haryana, India. He has over 23 years of academic experience in teaching, research, academic administration, and institutional development. His research interests include machine learning, deep learning, and artificial intelligence, with a focus on applying computational techniques to address real-world problems. Dr. Jain has authored and co-authored 89 research publications, including journal and conference papers, book chapters, and edited books. His research profile includes an h-index of 24 and an i10-index of 46, with more than 2,400 Google Scholar citations. He has successfully guided five Ph.D. scholars and ten M.Tech. students in completing their research work. His research and innovation activities include a .10 lakh BIRAC-funded project on a non-invasive diagnostic tool for diabetic retinopathy and mentorship of a student innovation project selected under the BIRAC E-YUVA Scheme.
Alongside his research contributions, Dr. Jain has held academic leadership and administrative responsibilities, including serving as program leader for the Artificial Intelligence and Machine Learning Cluster at UPES, Dehradun; head of the Department of Computer Science and Information Technology at Geeta Institute of Management & Technology, Kurukshetra; and Controller of Examinations at IILM University. He currently serves as doctoral chair in the School of Computer Science & Engineering at IILM University, where he contributes to doctoral research coordination and academic development.
As an editor, Dr. Jain brings his experience in research, teaching, and academic leadership to support the development of scholarly publications that connect emerging computational technologies with practical applications. His professional interests include advancing research in artificial intelligence and fostering innovation, interdisciplinary collaboration, and research-driven learning.

Descriere

This book provides a comprehensive exploration of AI, covering foundational concepts, applications, and ethical considerations. It delves into key AI domains, including machine learning, natural language processing, robotics, and cybersecurity, highlighting real-world use cases in healthcare, finance, education, and manufacturing.