Cloudflare and AWS both implemented x402 stablecoin micropayments at their edge networks within two weeks. The open protocol ...
A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Abstract: The rich semantic information in Control Flow Graphs (CFGs) of executable programs has made Graph Neural Networks (GNNs) a key focus for malware detection. However, existing CFG-based ...
Nvidia has acquired enterprise AI startup Kumo AI for at least $400 million, strengthening its push into predictive foundation models for structured business data, reported The Information. The deal ...
Abstract: With the explosive growth of graph data in scale, noise, and structural complexity, existing graph neural networks (GNNs) are reaching a performance bottleneck when simultaneously modelling ...
The era of monolithic AI is ending. For years, enterprises have treated large language models (LLMs) as singular, all-knowing "brains-in-a-jar." But leaders who have moved past basic proofs-of-concept ...
Graphs are used as a model of complex relationships among data in biological science since the advent of systems biology in the early 2000. In particular, graph data analysis and graph data mining ...
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