The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

Abstract: This paper proposes a deep pseudo-label method for unsupervised feature selection, which learns non-linear representations to generate pseudo-labels and trains a Neural Network (NN) to ...

It appears that Tesla CEO Elon Musk may have once again duped his fans and investors — which, these days, is an increasingly meaningless distinction. Last week, Musk made huge waves when he announced ...

A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...

This work presents a novel, label-agnostic, multi-objective feature selection framework for high-dimensional biomedical data. The method jointly optimizes two intrinsic properties: distributional ...

A team of researchers at IOCB Prague headed by Dr. Tomáš Slanina has developed a new method for labeling molecules with fluorescent dyes that surpasses existing approaches in both precision and ...

Laboratory technicians continue to face many challenges when it comes to labelling, marking, and tracking vials, especially in fast-paced research, clinical, or industrial settings. This article ...

A new, label-free method for identifying aged human cells has been developed. Researchers from Tokyo Metropolitan University (Japan) have created a new way of telling ‘aged’ human cells apart from ...

High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, traditional methods like the R-ratio ...