Patents by Inventor Monte Klinkenborg

Monte Klinkenborg 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).

  • Artificial intelligence based monitoring of solid state drives and dual in-line memory modules
    Patent number: 10930365
    Abstract: In embodiments, a memory controller (MC) includes an output interface, and an execution engine (EE) to identify, based on field test results of a die coupled to the MC, initial test results of the die using an artificial neural network (ANN) trained to identify the die from a set of NVM dies based on initial test results of the set of NVM dies obtained at a time of manufacture of the set of dies. The initial test results include a first useful life prediction and the field test results include a second useful life prediction, and the initial test results are regenerated by the ANN to protect their confidentiality. In embodiments, the MC is further to compare the second useful life prediction with the first useful life prediction, to determine a deviation between the two, and output, via the output interface, the deviation to a user.
    Type: Grant
    Filed: February 21, 2019
    Date of Patent: February 23, 2021
    Assignee: Intel Corporation
    Inventors: Pavel Poliakov, Andrey Kudryavtsev, Shekoufeh Qawami, Amirali Khatib Zadeh, Monte Klinkenborg
  • ARTIFICIAL INTELLIGENCE BASED MONITORING OF SOLID STATE DRIVES AND DUAL IN-LINE MEMORY MODULES
    Publication number: 20190189236
    Abstract: In embodiments, a memory controller (MC) includes an output interface, and an execution engine (EE) to identify, based on field test results of a die coupled to the MC, initial test results of the die using an artificial neural network (ANN) trained to identify the die from a set of NVM dies based on initial test results of the set of NVM dies obtained at a time of manufacture of the set of dies. The initial test results include a first useful life prediction and the field test results include a second useful life prediction, and the initial test results are regenerated by the ANN to protect their confidentiality. In embodiments, the MC is further to compare the second useful life prediction with the first useful life prediction, to determine a deviation between the two, and output, via the output interface, the deviation to a user.
    Type: Application
    Filed: February 21, 2019
    Publication date: June 20, 2019
    Inventors: Pavel Poliakov, Andrey Kudryavtsev, Shekoufeh Qawami, Amirali Khatib Zadeh, Monte Klinkenborg