However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, enabling researchers to process large volumes of environmental data and satellite ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...

We jargon-bust the impenetrable wall of techy marketing words that was Microsoft's Project Helix hardware tease.

This review outlines the potential of smart microscopy to transform biological imaging through adaptive systems that optimize data collection and image quality.

Dr. Behrooz Razeghi is a postdoctoral researcher in the Biometric Security & Privacy group at the Idiap Research Institute.

Women’s Day is a moment to recognise women who have shaped different fields, including technology and artificial intelligence.