DARPA's AI Programs Target Mathematical Proofs and Multi-Robot Exploration — E8 Intelligence Research

FINDING: DARPA's expMath program and Proof Council target AI-driven proof of open problems; SubT challenge yields multi-robot exploration algorithms in GPS-denied spaces. | MATH: No explicit equations, constants, or ratios extracted from the listed sources; only programmatic goals (expMath: AI for theorem proving; Proof Council: LLM agents for open proofs; SubT: path-planning/coverage algorithms, likely graph-based). | CONNECTION: None directly stated. However, multi-robot exploration in GPS-denied environments inherently relies on lattice/graph structures (e.g., Voronoi tessellations, Delaunay triangulations) and symmetry-breaking for coverage — but no specific ratio (0.382, 0.618, etc.) or base-60 appears in the evidence. | DEPTH: 2 — These are meta-announcements and field reports; no mathematical content is presented in the search results themselves. The only substantive mathematical artifact is the arXiv paper (2110.05911), but its equations are not included in the snippet. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com