Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Organizations today rely heavily on data to inform their decision-making processes at every level. However, the increasing complexity of data ecosystems poses a challenge: The data we rely on may not ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...

Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...

Advances in AI, IoT, and predictive analytics are enabling home security systems to shift from reactive alerts to proactive threat prevention. Research shows that refining anomaly detection for ...

Professor Gao Zhi's research team from the School of Remote Sensing and Information Engineering at Wuhan University in Hubei ...