Abstract: Systems and methods for generating an application profile repository that comprises application profiles. These application profiles may indicate the likely processes executed by a given application as well as the usage metric signatures for those processes. Additionally, the application profiles may indicate the dependencies between applications. To overcome the technical issue of some application profiles being missing or incomplete, the application profile repository may comprise a first set of application profiles corresponding to applications with known dependencies and a second set of application profiles corresponding to applications with virtual dependencies. These virtual dependencies may be determined based on comparisons of the applications, their processes, device usage metrics while the processes are being executed, etc.

Abstract: A method for severing a workpiece having a transparent material includes providing multiple focus elements using an input laser beam, applying the multiple focus elements to the material, thereby forming material modifications in the material along a predetermined processing line, and severing the material along the processing line by an etching process using a wet chemical solution. A temperature of the wet chemical solution during the etching process is at least 100° C. and/or at most 150° C.

Abstract: Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications in an environment with limited or no available data. In particular, systems and methods are described herein for providing network arrangement recommendations based on power consumption predictions for selected applications within network arrangements featuring devices with non-homogeneous or unknown specifications.

Abstract: Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications in an environment with limited or no available data. In particular, systems and methods are described herein for providing power consumption predictions for selected applications within network arrangements featuring devices with non-homogenous or unknown specifications.

Abstract: Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications in an environment with limited or no available data. In particular, systems and methods are described herein for providing network arrangement recommendations based on power consumption predictions for selected applications within network arrangements featuring devices with non-homogeneous or unknown specifications.

Abstract: Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications in an environment with limited or no available data. In particular, systems and methods are described herein for providing power consumption predictions for selected applications within network arrangements featuring devices with non-homogenous or unknown specifications.

Abstract: Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications in an environment with limited or no available data. In particular, systems and methods are described herein for providing network arrangement recommendations based on power consumption predictions for selected applications within network arrangements featuring devices with non-homogenous or unknown specifications.

Abstract: Systems and methods are described herein for novel uses and/or improvements to artificial intelligence applications in an environment with limited or no available data. In particular, systems and methods are described herein for providing power consumption predictions for selected applications within network arrangements featuring devices with non-homogenous or unknown specifications.