Abstract: The automated identification of wood surface defects is crucial for maintaining product quality and maximizing resource efficiency in the timber industry. Yet, conventional deep learning ...

Two alumni of Greenwood High International School have secured first place in the poster competition at Purdue University's ...

A CNN investigation into Jeffrey Epstein’s connections with the model industry finds several industry insiders who gave him access to young models. One of these insiders told CNN’s Katie Polglase he ...

A material may appear flawless on the surface yet fail to function properly. The cause lies in structural defects hidden within two-dimensional thin films, which are considered key materials for ...

CNN has joined the growing ranks of media companies suing Perplexity for copyright infringement. The cable news network has accused the AI search company of "massive copyright infringement" that ...

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images. A ...

The symptom profiles of different neurodegenerative diseases often overlap, and diagnosing age-related cognitive symptoms is complex. A patient may have multiple overlapping disease processes in the ...

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during ...

Within the context of semiconductor inspection and failure analysis, latent defects present a significant challenge because they make it difficult to determine whether a fault originated during ...

Yield loss is increasingly driven by molecular variability in thin films, interfaces, and contamination rather than visible defects. Reliability issues often appear first as parametric drift or margin ...