The recent rapid development of deep learning has laid a milestone in industrial image anomaly detection (IAD). In this paper, researchers provide a comprehensive review of deep learning-based ...

The increasing accuracy of deep neural networks for solving problems such as speech and image recognition has stoked attention and research devoted to deep learning and AI more generally.

Imagimob AI, a development platform for building tinyML applications for edge devices, adds support for deep learning anomaly detection. Deep anomaly detection—the identification of rare items, events ...

A real strength of machine learning is that it enables humans to predict and proactively address potential dangers instead of dealing with them when the damage has occurred. As we’ve seen, machine ...

By Alistair JonesSMU Office of Research Governance & Administration – Aircraft surface inspections are a critical and ...

Anomaly detection presents a unique challenge for a variety of reasons. First and foremost, the financial services industry has seen an increase in the volume and complexity of data in recent years.

The main contributions of this paper are: 1) to propose a novel video anomaly detection method—called COVAD—for future frame prediction by combining the content-based attention mechanism ...

Artificial intelligence tackles the deepfake problem through deep learning that takes anomaly detection to an entirely new level.