A new study discovers a pivotal moment when AI starts comprehending what was read versus relying on the position of the words in a sentence.

Explore the role of activation functions in deep learning and how they help neural networks learn complex patterns.

As a powerful knowledge-driven tool, copula theory performs well in modeling dependence among random variables. To enhance the interpretability of existing neural networks for heterogeneous CD, we ...

Specifically, we designed a spectral decomposition network to separate the background and target. To further extract and combine spectral and spatial information of the image for more accurate ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.