Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs ...

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 ...

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...

One key part of Microsoft’s big bet on machine learning is that these technologies need to be democratized, turned into relatively simple-to-understand building blocks that Microsoft’s developer ...

Researchers have developed a new image reconstruction approach that could contribute to better breast cancer detection. The deep learning algorithm overcomes a major hurdle in multi-modality imaging ...

A recent study reveals dynamic transformations in Earth's lower mantle, impacting both earthquakes and the magnetic field. GRACE satellites detected a gravitational anomaly in 2007, linked to a ...

In 2007, something strange happened over the eastern Atlantic Ocean. According to satellites orbiting Earth, our planet's gravity field developed a continent-scale anomaly before subsiding to its ...