Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

The OFIQ software library is intended to support large-scale biometrics programs with information about the usefulness of ...

Taking images of tiny structures within cells is tricky business. One technique, cryogenic electron tomography (cryoET), shoots electrons through a frozen sample. The images formed by the electrons ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

In a proof-of-concept study funded by the National Institutes of Health, researchers from the Keck School of Medicine of USC ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...

Abstract: In this paper, we propose an improved image preprocessing method to address the challenges of low resolution, cluttered backgrounds, and susceptibility to lighting, occlusion, and weather ...

Abstract: Imaging sonar, as an efficient sensor for underwater observation and measurement, plays a very important role in the positioning and mapping of autonomous underwater vehicles (AUVs).

This study utilized hyperspectral technology in conjunction with chemometric methods for the non-destructive assessment of chilled meat quality. Average spectra were extracted from regions of interest ...