What the EU AI Act Means for US Enterprises with European Exposure
A practical review of EU exposure, current applicability dates, and the decision records US AI teams should build.
From the archive
Artificial Intelligence
Articles
Enterprise Digital Twin implementation: build around one real decision
An implementation guide for decision context: source ownership, temporal records, retrieval, permissions, MCP boundaries, failure tests and a staged rollout around one workflow.
Decision-centric AI: improve the path from evidence to action
Design AI around an owned decision and a confirmed outcome. Use a practical decision canvas, workflow example and measured expansion gates.
Neuro-Symbolic AI for Multimodal Reasoning: Foundations, Advances, and Emerging Applications
Neuro-symbolic AI connects learned representations with explicit structures such as rules, graphs, or planners, but the term covers multiple designs. This guide compares representative approaches and applications while examining what…
Red-teaming AI systems: a practical playbook for testing real actions
Scope an AI red-team exercise, test prompts and tool permissions, inspect destination outcomes, protect evidence, and verify fixes without mistaking a refusal for a security boundary.
Persistent AI memory: what to keep, trust, and forget
Separate context, retrieval, and model adaptation, then test persistent AI memory for provenance, corrections, permissions, deletion, and useful continuity.
Liquid Neural Networks & Edge‑Optimized Foundation Models: Sustainable On-Device AI for the Future
Liquid Neural Networks (LNNs) are transforming the landscape of edge AI, offering lightweight, adaptive alternatives to traditional deep learning models. Inspired by biological neural dynamics, LNNs operate with continuous-time updates,…
How Vibe Coding Is Redefining Software Development with AI
Vibe coding can turn an idea into a working prototype, but generated code still needs requirements, review, testing, and a maintenance plan. This guide walks through a bounded development workflow…
ReaRAG: A Knowledge-Guided Reasoning Model That Improves Factuality in Multi-hop Question Answering
The ReaRAG factuality reasoning model introduces a breakthrough in retrieval-augmented generation by combining structured reasoning with external knowledge retrieval. Built around a Thought → Action → Observation (TAO) loop, ReaRAG…
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