A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

Image-based recognition using convolutional neural networks (CNNs), especially architectures like ResNet and YOLO, dominate ...

Yield prediction is one of the most extensively explored areas in wheat-focused AI research. Using satellite data, UAV ...

Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

In the rapidly evolving fields of computer vision (CV) and machine learning (ML), both software frameworks and hardware ...

In a major leap toward more comfortable and reliable health monitoring, scientists from Sun Yat-sen University have developed ...