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

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.

Microsoft's AI assistant Copilot went down Thursday afternoon for the second significant time this month, disrupting enterprise workflows across North America and Europe — and landing the company in ...

Abstract: In this paper, we study the feasibility of sending drones to deliver goods from a depot to a customer by solving what we call the Mission-Feasibility Problem (MFP). Due to payload ...

Abstract: We present lower bound tree-RRT (LBT-RRT), a single-query sampling-based motion-planning algorithm that is asymptotically near-optimal. Namely, the solution extracted from LBT-RRT converges ...