Deep industrial image anomaly detection: A survey. Beijing Zhongke Journal Publising Co. Ltd. Journal Machine Intelligence Research DOI 10.1007/s11633-023-1459-z ...

IoT devices are notoriously under-secured. Unlike traditional computing systems, these devices often come with limited processing power, hardcoded default credentials, minimal firmware protection, and ...

Because we need 21 daily values for this moving average, at the start of the deployment workflow we select the day to investigate and then we take at least 21 past values for all of the time series.

Most of the AI anomaly-detection use cases are typically on edge AI applications. Anomalies need to be quickly detected, and then identify the cause and report it accordingly to take appropriate ...

IoT products are convenient and essential for many users. However, cybersecurity risks accompany them, so people should strongly consider using anomaly detection offerings to increase their awareness ...

Christian Pedersen, IFS (screengrab from Teams call) Last week, enterprise applications provider IFS announced its acquisition of Falkonry AI, a startup that provides automated, self-learning anomaly ...

It’s not the first time DHS has expressed interest in automated detection algorithms. In April 2023, the agency released a solicitation and a statement of work for the project and then later hosted an ...