The DARPA–MIT SmartSolve project seeks to advance AI‑guided algorithmic discovery and accelerate computations by generating improved strategies for algorithm and architecture selection. Our current work targets challenges in computational linear algebra, addressing the increasing complexity of choosing efficient solvers, data formats, precision settings, and hardware resources for structurally diverse matrices—an area where conventional approaches leave significant room for improvement.