A Team Of New York University Computer Scientists Has Developed A Neural Network That Can Explain How It Makes Predictions, Shedding Light On The Workings

A team of computer scientists from New York University has developed a neural network that can explain how it makes predictions, providing insight into the workings of artificial intelligence. The breakthrough focuses on using neural networks to tackle complex biological questions, such as understanding RNA splicing. By improving the quantity and quality of data used for machine learning training, the scientists created an interpretable neural network that accurately predicts outcomes and explains its reasoning. This development has the potential to enhance our understanding of genome encoding and advance scientific research.