CLAIM-04
The general subject-area of 'geometry of machine learning / intelligence' is institutionally active — e.g. Harvard CMSA convenes 'The Geometry of Machine Learning 2026' September 8–11, 2026 at 20 Garden Street, Cambridge MA.
Geometry Intelligence Executive Briefing
Plain-language orientation for the public Geometry Intelligence framework
NODE-21 · proposed
Adjacent-field context: geometric deep learning and related programmes. This surface renders claims per their editorial disposition; nothing is paraphrased into an endorsement.
The general subject-area of 'geometry of machine learning / intelligence' is institutionally active — e.g. Harvard CMSA convenes 'The Geometry of Machine Learning 2026' September 8–11, 2026 at 20 Garden Street, Cambridge MA.
Bronstein et al.'s geometric-deep-learning corpus is an adjacent field with distinct scope; cited for context only.
NODE-19's 'September 2026 Convening Signal' essay is corroborated in timing by S-B-01 (Harvard CMSA event) but the essay's argument is owned by NODE-19.