Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, at a node of a cluster on an edge network, an indication that the cluster received a configuration update, compare a first parameter of a configuration state of the node to a second parameter of the configuration update, determine if the first parameter matches the second parameter, in response to determining that the first parameter matches the second parameter, apply the configuration update, and collect data in accordance with the configuration update.

Abstract: Various embodiments disclosed herein are related to an apparatus. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to collect, at a cloud server, service data from a collector framework service of an edge network. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to provide a configuration to the collector framework service based on the service data.

Abstract: A system and method for automatically generating recurrent neural networks for log anomaly detection uses a controller recurrent neural network that generates an output set of hyperparameters when an input set of controller parameters is applied to the controller recurrent neural network. The output set of hyperparameters is applied to a target recurrent neural network to produce a child recurrent neural network with an architecture that is defined by the output set of hyperparameters. The child recurrent neural network is then trained, and a log classification accuracy of the child recurrent neural network is computed. Using the log classification accuracy, at least one of the controller parameters used to generate the child recurrent neural network is adjusted to produce a different input set of controller parameters to be applied to the controller recurrent neural network so that a different child recurrent neural network for log anomaly detection can be generated.

Abstract: A data processing system (DPS) uses platform protection technology (PPT) to protect some or all of the code and data belonging to certain software modules. The PPT may include a virtual machine monitor (VMM) to enable an untrusted application and a trusted application to run on top of a single operating system (OS), while preventing the untrusted application from accessing memory used by the trusted application. The VMM may use a first extended page table (EPT) to translate a guest physical address (GPA) into a first host physical address (HPA) for the untrusted application. The VMM may use a second EPT to translate the GPA into a second HPA for the trusted application. The first and second EPTs may map the same GPA to different HPAs. Other embodiments are described and claimed.

Abstract: A data processing system (DPS) uses platform protection technology (PPT) to protect some or all of the code and data belonging to certain software modules. The PPT may include a virtual machine monitor (VMM) to enable an untrusted application and a trusted application to run on top of a single operating system (OS), while preventing the untrusted application from accessing memory used by the trusted application. The VMM may use a first extended page table (EPT) to translate a guest physical address (GPA) into a first host physical address (HPA) for the untrusted application. The VMM may use a second EPT to translate the GPA into a second HPA for the trusted application. The first and second EPTs may map the same GPA to different HPAs. Other embodiments are described and claimed.

Abstract: The inventions provide microscopes for imaging samples within wells of multi-well plates. Microscopes of the disclosure include a beam homogenizer system that shapes a beam from a light source into a shape specific to the bottom of a well of a multi-well plate. In particular, microscopes of the disclosure can illuminate wells for imaging by passing light through a prism that is beneath the sample. The light enters the prism from the side and as refracted into the well at a steep angle such that the light only illuminates about a bottom ten microns of the well. The beam homogenizer shapes the light from the light source so that, instead of hitting the prism as a spot with an irregular shape, the light enters the prism in a substantially rectangular pattern with homogeneous optical power level over the pattern.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, at a node of a cluster on an edge network, an indication that the cluster received a configuration update, compare a first parameter of a configuration state of the node to a second parameter of the configuration update, determine if the first parameter matches the second parameter, in response to determining that the first parameter matches the second parameter, apply the configuration update, and collect data in accordance with the configuration update.

Abstract: Various embodiments disclosed herein are related to an apparatus. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to collect, at a cloud server, service data from a collector framework service of an edge network. In some embodiments, the memory includes instructions that, when executed by the processor, cause the apparatus to provide a configuration to the collector framework service based on the service data.

Abstract: A uterine manipulator includes a housing and a shaft extending distally from the housing. An end effector assembly is disposed at a distal end portion of the shaft. The end effector assembly includes a cervical cup and a uterine manipulating tip portion extending distally from the cervical cup. A position sensor is supported by the cervical cup. The position sensor is configured to identify a location of the cervical cup.

Abstract: A system and method for automatically generating recurrent neural networks for log anomaly detection uses a controller recurrent neural network that generates an output set of hyperparameters when an input set of controller parameters is applied to the controller recurrent neural network. The output set of hyperparameters is applied to a target recurrent neural network to produce a child recurrent neural network with an architecture that is defined by the output set of hyperparameters. The child recurrent neural network is then trained, and a log classification accuracy of the child recurrent neural network is computed. Using the log classification accuracy, at least one of the controller parameters used to generate the child recurrent neural network is adjusted to produce a different input set of controller parameters to be applied to the controller recurrent neural network so that a different child recurrent neural network for log anomaly detection can be generated.

Abstract: A data processing system (DPS) uses platform protection technology (PPT) to protect some or all of the code and data belonging to certain software modules. The PPT may include a virtual machine monitor (VMM) to enable an untrusted application and a trusted application to run on top of a single operating system (OS), while preventing the untrusted application from accessing memory used by the trusted application. The VMM may use a first extended page table (EPT) to translate a guest physical address (GPA) into a first host physical address (HPA) for the untrusted application. The VMM may use a second EPT to translate the GPA into a second HPA for the trusted application. The first and second EPTs may map the same GPA to different HPAs. Other embodiments are described and claimed.

Abstract: A data processing system (DPS) uses platform protection technology (PPT) to protect some or all of the code and data belonging to certain software modules. The PPT may include a virtual machine monitor (VMM) to enable an untrusted application and a trusted application to run on top of a single operating system (OS), while preventing the untrusted application from accessing memory used by the trusted application. The VMM may use a first extended page table (EPT) to translate a guest physical address (GPA) into a first host physical address (HPA) for the untrusted application. The VMM may use a second EPT to translate the GPA into a second HPA for the trusted application. The first and second EPTs may map the same GPA to different HPAs. Other embodiments are described and claimed.

Abstract: A data processing system (DPS) uses platform protection technology (PPT) to protect some or all of the code and data belonging to certain software modules. The PPT may include a virtual machine monitor (VMM) to enable an untrusted application and a trusted application to run on top of a single operating system (OS), while preventing the untrusted application from accessing memory used by the trusted application. The VMM may use a first extended page table (EPT) to translate a guest physical address (GPA) into a first host physical address (HPA) for the untrusted application. The VMM may use a second EPT to translate the GPA into a second HPA for the trusted application. The first and second EPTs may map the same GPA to different HPAs. Other embodiments are described and claimed.

Abstract: A data processing system (DPS) uses platform protection technology (PPT) to protect some or all of the code and data belonging to certain software modules. The PPT may include a virtual machine monitor (VMM) to enable an untrusted application and a trusted application to run on top of a single operating system (OS), while preventing the untrusted application from accessing memory used by the trusted application. The VMM may use a first extended page table (EPT) to translate a guest physical address (GPA) into a first host physical address (HPA) for the untrusted application. The VMM may use a second EPT to translate the GPA into a second HPA for the trusted application. The first and second EPTs may map the same GPA to different HPAs. Other embodiments are described and claimed.

Abstract: A data processing system (DPS) uses platform protection technology (PPT) to protect some or all of the code and data belonging to certain software modules. The PPT may include a virtual machine monitor (VMM) to enable an untrusted application and a trusted application to run on top of a single operating system (OS), while preventing the untrusted application from accessing memory used by the trusted application. The VMM may use a first extended page table (EPT) to translate a guest physical address (GPA) into a first host physical address (HPA) for the untrusted application. The VMM may use a second EPT to translate the GPA into a second HPA for the trusted application. The first and second EPTs may map the same GPA to different HPAs. Other embodiments are described and claimed.

Abstract: A novel oral controlled release pharmaceutical composition comprising a therapeutically effective amount of active substance, ropinirole or a pharmaceutically acceptable salt(s) or enantiomer(s) or polymorph(s) or hydrate(s) thereof, one or more controlled release agent(s), optionally one or more pharmaceutically acceptable excipient(s) and an extended release coating, wherein the said composition provides controlled release of the active agent with reduced initial burst release.