DARPA's Math Push: AI Discovery, No New Equations — E8 Intelligence Research

FINDING: DARPA's current mathematical initiatives (expMath, COMPASS, SubT) focus on AI-driven theorem discovery, multi-domain synchronization, and GPS-denied navigation — but none of the retrieved sources contain explicit new equations, constants, or solved mathematical problems. The only concrete mathematical artifact is the CTU-CRAS-NORLAB field report on multi-robot exploration, which involves probabilistic mapping and graph-based path planning. | MATH: No new constants or closed-form solutions are presented. Implicit mathematics: (1) SubT navigation relies on simultaneous localization and mapping (SLAM) — typically pose-graph optimization minimizing Σ||T_i·T_j⁻¹ - Z_ij||² over SE(3); (2) expMath aims to automate proof synthesis, implying formal systems with inference rules — no specific axioms given; (3) COMPASS mentions "synchronization across five domains" — likely coupled oscillator models (Kuramoto: dθ_i/dt = ω_i + (K/N)Σ sin(θ_j - θ_i)), but no parameters disclosed. | CONNECTI Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com