HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

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

John Roese’s 2026 AI Predictions: AI Governance, Data Readiness, Agentic AI, and AI Factories

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

Fast FPGA Accelerator of Graph Cut Algorithm With Threshold Global Relabel and Inertial Push

Abstract: Graph cut algorithms are popular in optimization tasks related to min-cut and max-flow problems. However, modern FPGA graph cut algorithm accelerators still need performance and memory ...
IEEE

Degree-Based triangle classification algorithm for graph data

Abstract: Triangle classification is essential in graph analysis, such as for effectively detecting communities, evaluating clusters, and quantifying connection density. While traditional algorithms ...