The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

SHENZHEN, China - MicroCloud Hologram Inc. (NASDAQ: HOLO), a global provider of holographic technology services with a market capitalization of $28.76 million, has announced the optimization of ...

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.

Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming Anomaly detection covers a large number of data analytics use cases ...

Although predicated on advanced math concepts, anomaly detection, or as the NIST Cybersecurity Framework 2.0 calls it, “adverse event analysis,” has over the past two decades been incorporated ...

What does anomaly detection actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Normally anomaly detection takes time to set up. You need to train your model against a large amount of data to determine what’s normal operation and what’s out of the ordinary.

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in low ...