
Stony Brook, NY, February 13, 2026 — In his office lined with hand-drawn diagrams and alphabet-like symbols, Stony Brook researcher Jeffrey Heinz is trying to answer a deceptively simple question: How well, exactly, can today’s neural networks learn, and where do they fail?