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

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 ...

More than 1.5 billion people worldwide are expected to watch the 2026 World Cup finals. With that many fans scrutinizing every pass, touch and goal, FIFA is leaning on advanced computer vision ...

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

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 ...

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 ...

We benchmark on the community-standard Dalke NN dataset (1,000 high-similarity ChEMBL pairs) — the same dataset widely used by RDKit, CDK, and the academic MCS literature. Identical SMILES input, same ...