May 2026 monthly summary: Focused on delivering educational content and documentation improvements for SC-VAMP across intsystems/BMM and intsystems/intsystemshub.io.git, with concrete commits and clear business value.

2025-09 monthly summary for intsystems/BMM. Key deliverables focused on educational presentation materials. Two main features shipped as artifacts: Week 1 Neural Networks and Periodic Functions and In-Between Uncertainty in Bayesian Neural Networks. These assets include LaTeX sources, slides, images, and PDFs, with detailed problem statements, theory, experiments, and results (including Snake activation function discussion). This work enhances reproducibility, supports outreach, and serves as reusable content for future talks. No major bugs fixed in this period; effort concentrated on content creation and documentation. Technologies demonstrated: LaTeX, src file scaffolding, slide production, experimental documentation, and reproducible artifacts.