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

Abstract: The pathfinding problem in a graph has been solved using several classical algorithms, notably Dijkstra’s and A* algorithms. However, most classical algorithms are most effective on static ...

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...

You need to pivot to stay competitive. Technical excellence is no longer enough; you have to be demonstrably useful. You need a strategy that’s more than just formatting, that looks deeper into the ...

The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...

Blueberry cornmeal pancakes show that comfort food can be healthy, too How to make big, juicy turkey burgers that are anything but boring Home and Garden Finding the joy of imperfection in a DIY ...

Ultrasound and artificial intelligence-guided algae microrobots delivered chemotherapy deep into tumors in mice, paving the way to improved bladder cancer care.