Operational Database Management Systems
Books and other…
Author: Virginia DignumPublisher: Princeton University Press, February 17, 2026ISBN: 9780691269085 Description: A user’s guide to navigating the intricate, often contradictory relationship between artificial intelligence and human intelligence. Artificial intelligence will shape our future in unforeseen ways, and it...
Authors: Virginia Dignum, Andrea Aler Tubella, Marçal Mora-Cantallops, Juan Carlos Nieves, and Andreas TheodorouPublisher: Cambridge University Press, 2026Description: A rigorous and accessible textbook from leading researchers in responsible AI, providing clear socio-technical frameworks that distinguish Trustworthy AI,...
Authors: Thorsten Busch, Florence M. Chee, and Katrin J. YuanPublisher: Springer Nature, 2025 (hardcover) / 2026 (softcover)Description: A collaborative work grounded in applied ethics that investigates responsible technology entrepreneurship, with particular attention to the unique ethical challenges...
Editor: Larry R. MedskerPublisher: Springer Nature, forthcoming 2026Description: A comprehensive, multi-author reference work bringing together leading researchers and practitioners to address the most pressing ethical challenges in AI across policy, governance, fairness, transparency, accountability, and societal impact....
Editors: Silja Voeneky, Philipp Kellmeyer, Oliver Mueller, and othersPublisher: Cambridge University Press, 2022 (widely adopted and cited through 2025–2026)Description: A landmark multi-disciplinary volume addressing the most pressing philosophical, ethical, legal, and societal challenges posed by AI. Contributors...
Publisher: O’Reilly Media, 2026Description: Explores how distributed SQL is redefining the data layer for agentic AI systems. The book addresses why memory — not compute — is the new constraint for agentic AI, how to integrate...
Author: Guglielmo Iozzia, Foreword by Matthew R. VersaggiPublisher: Manning Publications, 2026Description: A thoroughly updated edition covering the rapidly evolving landscape of autonomous AI agents. Addresses agent architecture, memory management, multi-agent coordination, tool use, orchestration frameworks, and the...
Author: Luis G. Serrano Publisher: Manning Publications, 2026 Description: A thoroughly updated second edition of this widely praised introduction to machine learning, now expanded to cover the foundations underpinning modern generative AI systems including neural networks, transformers,...
Edited By Loreta Tauginienė SBN 9781041331711 272 Pages 16 B/W Illustrations October 20, 2026 by CRC Press Copyright 2027 This book provides a comprehensive exploration of how artificial intelligence (AI) is reshaping responsible conduct of research...
Q1. Your book argues that general intelligence will emerge from orchestrated cooperation among specialized LLM agents rather than from ever-larger monolithic models. What led you to this thesis, and can you explain why collaborative...