A new graph machine learning framework integrates LLMs and human oversight to predict urban walkability and simulate design ...

Code findings point to a Siri AI memory system spanning relationships, routines, and health, but key parts of the ...

Researchers have developed an adaptive spatio-temporal graph attention network that couples ship trajectory tracking with ...

Road networks are often monitored by only a limited number of sensors, leaving many segments unobserved. Researchers from the Technical University of ...

AI can help a team finish tasks faster without helping an organization deliver its strategy. Smartsheet is targeting that gap ...

The biggest AI conversations, decoded. 04 November 2026.

Learn about our latest advancements to delivering agentic-first experiences, borderless data, and trusted context for all ...

The article aims to examine simulated membrane-potential responses to a moving grating under different chemical and ...

Shared security graph and MCP context engine for Superagent and customer agents - superagent-ai/security-graph ...

GitLab describes its new platform as a shared, permission-aware graph infrastructure designed to unify agent context.

GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...

InfoQ released its annual AI, ML and Data Engineering Trends Report on Oct. 30, mapping technology adoption from innovators ...