The AI initiatives that are stalling right now are failing because of what sits beneath the AI, and that's a problem leaders ...

Google says its AI tutor delivered a year of math progress in eight weeks. I asked the DeepMind researcher behind the trial ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

The TerraMaster F4-425 Pro is built around an Intel N350 8-core processor, 16GB of DDR5 memory and dual 5GbE networking, with ...

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer ...

A practical guide to OpenCode — from your first prompt to custom agents, skills, plugins, and MCP integrations. Built around clear mental models and real examples, not marketing. Who this is for: ...

S2DM is an approach for modeling data across multiple domains. It is designed to be simple and accessible for Subject Matter Experts (SMEs) while incorporating semantic principles to define meaningful ...

Abstract: In semantic communication, model inversion attacks and adversarial attacks pose a major threat to both data privacy and system mission performance. This article adopts an attacker-centric ...

Abstract: Efficiently retrieving relevant data from massive Internet of Things (IoT) networks is essential for downstream tasks such as machine learning. This paper addresses this challenge by ...