Industrial anomaly detection is crucial for maintaining quality control and reducing production errors, but traditional ...

In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly ...

In this post, I will briefly review the deep learning architectures that help computers detect objects. Convolutional neural networks One of the key components of most deep learning–based ...

The dataset includes more than 50,000 samples of real, AI-generated and manipulated audio-visual content annotated with data ...

Traditional AI-powered waste classification systems rely on supervised learning methods. These require extensive labeled ...

Both the AI model and a dataset will be downloadable with a non-commercial license. That is, creators can't use it for products. This is primarily for research and expanding access to the technology.

Researchers at the University of Osaka have developed a deep learning model for rapid building damage assessment after floods ...

Meta has made both the AI model and dataset available for download with a non-commercial license. This move will expand access to the technology, primarily for research purposes.