Artificial Bimolecular Networks Open Door to Sophisticated Diagnostic Testing

Scientists at Caltech say they have developed an artificial neural network made out of DNA that can solve a basic machine learning problem: correctly identifying handwritten numbers. The work is a significant step in demonstrating the capacity to program artificial intelligence into synthetic biomolecular circuits, according to the team, which published its study (“ Scaling Up Molecular Pattern Recognition with DNA-Based Winner-Take-All Neural Networks ”) in Nature .“From