Patents by Inventor Simon-Pierre Genot

Simon-Pierre Genot has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Data center including cognitive agents and related methods
    Patent number: 11204761
    Abstract: A data center may include a software defined infrastructure in a computing environment. The data center may also include a computer readable medium having instructions which when executed by a processor cause the processor to implement cognitive agents to perform adaptive deep reinforcement learning to reconfigure the software defined infrastructure based upon changes in the computing environment.
    Type: Grant
    Filed: December 3, 2018
    Date of Patent: December 21, 2021
    Assignee: International Business Machines Corporation
    Inventors: Luis A. Bathen, Simon-Pierre Genot, Mu Qiao, Ramani Routray
  • Anomaly detection in multidimensional time series data
    Patent number: 11157782
    Abstract: A method, computer system, and computer program product to detect anomalies in a multivariate or multidimensional time series data set. The time series data set is retrieved from a monitored device. A pair of neural networks are trained simultaneously using the retrieved time series data set by implementing an adversarial training process, to generate a generative neural network and a discriminative neural network. The anomalies in the time series data set of the monitored device are detected by implementing one or both of the generative neural network and the discriminative neural network to monitor the time series data set.
    Type: Grant
    Filed: November 16, 2017
    Date of Patent: October 26, 2021
    Assignee: International Business Machines Corporation
    Inventors: Luis Angel D. Bathen, Simon-Pierre Genot, Mu Qiao, Ramani R. Routray
  • DATA CENTER INCLUDING COGNITIVE AGENTS AND RELATED METHODS
    Publication number: 20200174784
    Abstract: A data center may include a software defined infrastructure in a computing environment. The data center may also include a computer readable medium having instructions which when executed by a processor cause the processor to implement cognitive agents to perform adaptive deep reinforcement learning to reconfigure the software defined infrastructure based upon changes in the computing environment.
    Type: Application
    Filed: December 3, 2018
    Publication date: June 4, 2020
    Inventors: Luis A. BATHEN, Simon-Pierre GENOT, Mu QIAO, Ramani ROUTRAY
  • ANOMALY DETECTION IN MULTIDIMENSIONAL TIME SERIES DATA
    Publication number: 20190147300
    Abstract: A method, computer system, and computer program product to detect anomalies in a multivariate or multidimensional time series data set. The time series data set is retrieved from a monitored device. A pair of neural networks are trained simultaneously using the retrieved time series data set by implementing an adversarial training process, to generate a generative neural network and a discriminative neural network. The anomalies in the time series data set of the monitored device are detected by implementing one or both of the generative neural network and the discriminative neural network to monitor the time series data set.
    Type: Application
    Filed: November 16, 2017
    Publication date: May 16, 2019
    Inventors: Luis Angel D. Bathen, Simon-Pierre Genot, Mu Qiao, Ramani R. Routray