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The SingleStore Cookbook: Recipes for Multi-Model, Machine Learning and AI DatData Engineering

Chaudhri, A. (2026). The SingleStore Cookbook: Recipes for Multi-Model, Machine Learning and AI Data Engineering. Self-published. Introduction Over the last decade, the data infrastructure landscape has expanded into a patchwork of specialized systems, such as...

TrustModel Summit 2026: call for submissions

TrustModel Summit 2026, taking place October 1st at Stanford. Original research on AI assurance, evaluation, governance, safety, and policy, in front of frontier labs, regulators, capital, and researchers.Deadline is August 15. Submit: https://trustmodel.ai/summit2026/call-for-papers What to...

McObject Announces eXtremeDB 9.0 Featuring Native ANN Indexes and a New Ultra‑Lightweight Edge Client for IoT

Federal Way, WA — July 15, 2026 — McObject announces eXtremeDB 9.0, a major update to its embedded database system introducing two significant advancements for developers building intelligent, resource‑constrained systems: native Approximate Nearest Neighbor (ANN) indexes and a...

AI Paradox: How to Make Sense of a Complex Future

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...

Trustworthy AI

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,...

AI and Ethics Handbook

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....

The Cambridge Handbook of Responsible Artificial Intelligence

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...