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LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledge

Sustained scientific work requires a knowledge substrate that carries interpretation across tasks and preserves paths to source evidence. We call this process \emph{scientific knowledge compilation} and implement it in ASKS, the \emph{Agent-Driven Scientific Knowledge System}. For each source, an LLM produces a readable Wiki view and machine-facing semantics. Deterministic checks convert the…

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Indonesia Urges Workers to Build AI Skills as Jobs Evolve

Indonesia urges workers, including civil servants, to build AI skills as generative AI reshapes jobs, decision-making and the digital economy.

  • Indonesian Deputy Minister urges workers to acquire AI skills.
  • ILO reports one in four ASEAN workers at risk of job displacement due to AI.
  • Indonesian government proactively strengthens AI understanding and management.

Wide Learning: Learning to Reach Evidence

Machine learning is usually evaluated after an evidence interface has been fixed. A dataset, sensor suite, query language, action set, or experimental protocol determines which observations can be…

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