Look up any term in AI.

Knowledge Graphs (KG)

A knowledge graph stores facts as typed links between named things so one query can join across several. The structure is easy; the curation is what costs.

Artificial Superintelligence (ASI)

Artificial superintelligence: what it would mean, why the intelligence explosion argument is contested, and what labs and regulators actually do about it.

Data Analysis

What the work consists of: framing a question, looking before aggregating, choosing a summary that does not lie, and turning a number into a decision.

Model Routing

Model routing sends each request to the cheapest capable model — a small model handles the easy majority and hard queries escalate to a frontier model.

High Bias

Statistical bias, not AI fairness: the error a model class cannot escape even with infinite data — worked in closed form on a line fitted to a parabola.

Federated Learning

Federated learning trains a shared model across many devices without moving their raw data: the local-train, send-updates, aggregate loop.