Quantum computers can one day be vastly more powerful than the most powerful supercomputers on the planet — but only if scientists find ways to fix the extremely ...

1 Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy 2 Department of Information Engineering, University of Padova, Padova, Italy Introduction: Modeling ...

This project shows how to find anomalies in financial time series data, specifically the stock values of Apple (AAPL), using a LSTM Autoencoder. Stock price anomalies may be a sign of major market ...

Abstract: Covert faults are characterized by the performance parameters falling within the normal range, without any observable abnormalities. These types of faults pose a significant risk as they ...

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

The demo program presented in this article uses image data, but the autoencoder anomaly detection technique can work with any type of data. The demo begins by creating a Dataset object that stores the ...