Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

Most of the challenge of performing neural network quantile regression is finding good values for the four key hyperparameters: number hidden nodes, learning rate, quantile rate, max epochs.

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...