Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Recursive Self-Improvement Now Has a Co-Evolving Evaluator: Cambridge-NVIDIA Paper Raises the Stakes
Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...
If you've been planning to step up your data science game for the new year, the 2026 NPTEL course lineup from India's top IITs is honestly a goldmine. These courses cover the backbone of modern ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...
Abstract: Infrastructure deterioration poses major economic and safety risks, motivating scalable and objective inspection of concrete structures. This article presents CrackNet-graph neural network, ...
Abstract: All-pairs shortest paths (APSP) remains a major bottleneck for large-scale graph analytics, as data movement with cubic complexity overwhelms the bandwidth of conventional memory hierarchies ...
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