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

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

The assumption behind most conservation maps is straightforward. Wherever rare species cluster and habitats grow scarce, those spots deserve protection. Ecologists have built decades of reserve ...

Abstract: Unit commitment (UC) problems are typically formulated as mixed-integer programs (MIP) and solved by the branch-and-bound (B&B) scheme. The recent advances in graph neural networks (GNN) ...

Mycorrhizal fungi form underground networks that sustain plant life and help regulate Earth's climate by drawing carbon into soils. In a study published in Science, an international team of ...