Caltech researchers have engineered a neural network constructed from DNA strands, marking a leap in biochemical computing. Unlike electronic neural networks, this DNA-based system performs supervised learning through chemical reaction networks governed by base pairing and strand displacement. This approach exemplifies molecular circuits that mimic brain-like computation, offering novel paradigms for programming living systems or biosensors. Such bio-computing platforms could herald transformative applications in synthetic biology and material sciences.