Neuromorphic computing, as a novel approach to processing information by mimicking biological neural networks, has gradually demonstrated significant ...

Incoming information from the retina is channeled into two pathways in the brain's visual system: one that's responsible for ...

As artificial intelligence (AI) rapidly grows—a recent UN Trade and Development report projects the global AI market soaring ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

The GeNeVA task involves a Teller giving a sequence of linguistic instructions to a Drawer for the ultimate goal of image generation. The Teller is able to gauge progress through visual feedback of ...

While humans concentrate on the meaning of objects, artificial intelligence focuses on visual characteristics.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

In this paper, binary classification methods using support vector machines (SVM) obtained from one-class learning and two-class learning are introduced. Firstly, an application of deep CNN (DCNN) for ...

Description 4K resolution animation centered around a conceptual artificial intelligence brain chip. The composition features a CPU-like neural engine surrounded by symmetrical, glowing circuit lines ...

4K resolution loopable animation centered around a conceptual artificial intelligence brain chip. The composition features a CPU-like neural engine surrounded by symmetrical, glowing circuit lines and ...

Automatic visual inspection of defects plays an important role in industrial manufacturing with the benefits of low-cost and high accuracy. In light-emitting diode (LED) manufacturing, each die on the ...