Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction ...

AI systems create value only when they can work with reliable business data. A predictive model trained on incomplete transaction records, a chatbot connected t ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...

A new Governance AI study reveals that EU data protection rules are stalling AI adoption, leaving 11% of advanced LLM ...

The free embedded database LMDB has reached version 1.0. It relies on memory mapping and MVCC for fast, transaction-safe data ...

If human sensorimotor intelligence can be recovered as a learned model, systems can be trained that map perception into ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

An examination of the trade secret risks posed by the integration of generative AI (GenAI) and agentic AI into core business ...