3.1 Overview of GLNet. Inspired by the global learning strategies of FPGA [50] and SSDGL [51], we propose a novel GLNet for high-dimensional image classification, as shown in Figure 1, which utilizes ...

A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy ...

Apple’s latest research hints that a long-forgotten AI technique could have new potential for generating images. Here’s the ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

After almost a decade of hands-on workshops and ongoing research, educators share the power of digital storytelling as an ...

Less training samples are a challenging problem in hyperspectral image classification. Active learning and semisupervised learning are two promising techniques to address the problem. Active learning ...