The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Abstract: Currently, deep learning applications in tomato disease recognition are becoming widespread. However, in greenhouse tomato cultivation environments, many techniques neglect the foggy image ...

Abstract: During muscle contractions, force distributions are generated on muscle surfaces due to muscle activity, which is applicable for control in a Human-Machine Interface. It has been proven that ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...