Abstract: Methods, apparatuses, and systems for performing robotic joint arthroscopic surgery are disclosed. The disclosed systems use a surgical robot to perform robotic joint arthroscopic surgery for soft tissue. The disclosed systems enable a surgeon or physician to perform a virtual surgical procedure in a virtual environment, storing robotic movements, workflow objects, user inputs, or a description of tools used. The surgical robot filters the stored data to determine a surgical workflow from the stored data. The surgical robot displays information describing a surgical step in the surgical workflow, enabling the surgeon or physician to optionally adjust the surgical workflow. The surgical robot stores the optional adjustments and performs the surgical procedure on a patient by executing surgical actions of the surgical workflow.

Abstract: Methods, apparatuses, and systems performing robotic arthroscopic surgery for extensor retinaculum are disclosed. The disclosed surgical robot receives user inputs, workflow objects, and data files containing surgical actions for robotic movements from a surgery network. The surgical tools required for performing the robotic arthroscopic surgery are displayed on a user interface for the surgical tools to be enabled or disabled. The robotic arthroscopic surgical steps are displayed on the user interface in a sequence to enable execution of the data files containing the robotic movements. The robotic movements are used to perform surgical steps or assist a surgeon in performing surgical steps.

Abstract: Methods, apparatuses, and systems for performing machine learning (ML) for robotic arthroscopic surgery are disclosed. The disclosed systems use ML to provide recommendations and methods for automated robotic ankle arthroscopic surgery. Historical patient data is filtered to match particular parameters of a patient. The parameters are correlated to the patient. A robotic surgical system or a surgeon reviews the historical patient data to select or adjust the historical patient data to generate a surgical workflow for a surgical robot to perform the robotic arthroscopic surgery.

Abstract: Systems, apparatuses and methods may provide for technology that dynamically tunes platform features based on virtual machine runtime requirements. In one example, a first virtual machine and a second virtual machine of a cloud server platform may each be associated with one or more logical cores. The first virtual machine may have a first configuration to efficiently support a first feature setting arrangement on the associated logical cores. The second virtual machine may have a different second configuration to efficiently support a different second feature setting arrangement on the different associated logical cores. Feature settings that are specific to an application associated with a virtual machine may be determined based on application runtime requirements. Such determined feature settings may be stored as a bit mask in control fields of a virtual machine control and enforced on the logical cores associated with a given virtual machine.

Abstract: Resonating sensors for use in high-pressure and high-temperature environments are provided. In one embodiment, an apparatus includes a sensor with a double-ended tuning fork piezoelectric resonator that includes a first tine and a second tine. These tines are spaced apart from one another so as to form a slot between the first and second tines. The width of the slot from the first tine to the second tine varies along the lengths of the first and second tines. Various other resonators, devices, systems, and methods are also disclosed.

Abstract: Methods, apparatuses, and systems for performing robotic joint arthroscopic surgery are disclosed. The disclosed systems use a surgical robot to perform robotic joint arthroscopic surgery for soft tissue. The disclosed systems enable a surgeon or physician to perform a virtual surgical procedure in a virtual environment, storing robotic movements, workflow objects, user inputs, or a description of tools used. The surgical robot filters the stored data to determine a surgical workflow from the stored data. The surgical robot displays information describing a surgical step in the surgical workflow, enabling the surgeon or physician to optionally adjust the surgical workflow. The surgical robot stores the optional adjustments and performs the surgical procedure on a patient by executing surgical actions of the surgical workflow.

Abstract: Resonating sensors for use in high-pressure and high-temperature environments are provided. In one embodiment, an apparatus includes a sensor with a double-ended tuning fork piezoelectric resonator that includes a first tine and a second tine. These tines are spaced apart from one another so as to form a slot between the first and second tines. The width of the slot from the first tine to the second tine varies along the lengths of the first and second tines. Various other resonators, devices, systems, and methods are also disclosed.

Abstract: Systems and methods are provided to predict customer behavior during a digital transaction at a point of sale. The disclosed systems and methods can collect information regarding a merchant and the merchant's business as well as information about the current sales environment in which the merchant is operating. From the collected information, the disclosed systems and methods can process the collected information to generate a prediction of future customer behavior in real-time or near real-time.

Abstract: An example path discovery system includes a memory and processing circuitry in communication with the memory. The processing circuitry is configured to obtain routing script metadata associated with a telephony network, to parse routing logic implemented by one or more nodes of the telephony network, to emulate, using the routing script metadata and the parsed routing logic, a traversal path for a call through the telephony network, the emulated traversal path including the one more nodes for which the routing logic is parsed, to store, to the memory, the emulated traversal path and respective final states of runtime variables associated with the one or more nodes included in the emulated traversal path, and to generate, in a machine-readable format, one or more reports indicating a destination of the emulated traversal path in the telephony network and an ingress of the emulated traversal path with respect to the telephony network.

Abstract: Systems, apparatuses and methods may provide for technology that dynamically tunes platform features based on virtual machine runtime requirements. In one example, a first virtual machine and a second virtual machine of a cloud server platform may each be associated with one or more logical cores. The first virtual machine may have a first configuration to efficiently support a first feature setting arrangement on the associated logical cores. The second virtual machine may have a different second configuration to efficiently support a different second feature setting arrangement on the different associated logical cores. Feature settings that are specific to an application associated with a virtual machine may be determined based on application runtime requirements. Such determined feature settings may be stored as a bit mask in control fields of a virtual machine control and enforced on the logical cores associated with a given virtual machine.

Abstract: Systems, apparatuses and methods may provide for technology that dynamically tunes platform features based on virtual machine runtime requirements. In one example, a first virtual machine and a second virtual machine of a cloud server platform may each be associated with one or more logical cores. The first virtual machine may have a first configuration to efficiently support a first feature setting arrangement on the associated logical cores. The second virtual machine may have a different second configuration to efficiently support a different second feature setting arrangement on the different associated logical cores. Feature settings that are specific to an application associated with a virtual machine may be determined based on application runtime requirements. Such determined feature settings may be stored as a bit mask in control fields of a virtual machine control and enforced on the logical cores associated with a given virtual machine.

Abstract: An example path discovery system includes a memory and processing circuitry in communication with the memory. The processing circuitry is configured to obtain routing script metadata associated with a telephony network, to parse routing logic implemented by one or more nodes of the telephony network, to emulate, using the routing script metadata and the parsed routing logic, a traversal path for a call through the telephony network, the emulated traversal path including the one more nodes for which the routing logic is parsed, to store, to the memory, the emulated traversal path and respective final states of runtime variables associated with the one or more nodes included in the emulated traversal path, and to generate, in a machine-readable format, one or more reports indicating a destination of the emulated traversal path in the telephony network and an ingress of the emulated traversal path with respect to the telephony network.

Abstract: Systems, apparatuses and methods may provide technology for intelligent drive wear management. The technology may include determining a difference between a wear value derived for a first solid state storage drive and a wear value derived for a second solid state storage drive, and if the difference in wear value exceeds a wear skew threshold, swapping content between the first drive and the second drive. The technology may also include sorting an array of solid state storage drives into a plurality of drive groups based on a wear value derived for each drive, and determining, for a first pair of drives in a drive group, a difference in wear value between the drives in the first pair. Respective pairs of drives in a drive group may be selected based on the drive wear value and a drive rotation counter value associated with each drive.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine-learning concepts (e.g., neural networks) to determine predicted relevancy scores for transactions, sort the transactions based on the same, and generate and provide a user interface based at least in part on the scores for presentation to an end user.

Abstract: Resonating sensors for use in high-pressure and high-temperature environments are provided. In one embodiment, an apparatus includes a sensor with a double-ended tuning fork piezoelectric resonator that includes a first tine and a second tine. These tines are spaced apart from one another so as to form a slot between the first and second tines. The width of the slot from the first tine to the second tine varies along the lengths of the first and second tines. Various other resonators, devices, systems, and methods are also disclosed.

Abstract: Systems and methods are provided to predict customer behavior during a digital transaction at a point of sale. The disclosed systems and methods can collect information regarding a merchant and the merchant's business as well as information about the current sales environment in which the merchant is operating. From the collected information, the disclosed systems and methods can process the collected information to generate a prediction of future customer behavior in real-time or near real-time.

Abstract: Systems, apparatuses and methods may provide for technology that dynamically tunes platform features based on virtual machine runtime requirements. In one example, a first virtual machine and a second virtual machine of a cloud server platform may each be associated with one or more logical cores. The first virtual machine may have a first configuration to efficiently support a first feature setting arrangement on the associated logical cores. The second virtual machine may have a different second configuration to efficiently support a different second feature setting arrangement on the different associated logical cores. Feature settings that are specific to an application associated with a virtual machine may be determined based on application runtime requirements. Such determined feature settings may be stored as a bit mask in control fields of a virtual machine control and enforced on the logical cores associated with a given virtual machine.

Abstract: There is disclosed in one example a server apparatus for use in a data center, including: a processor having a memory prefetcher; a memory; a memory bus to communicatively couple the processor to the memory; and a dynamic prefetcher tuning agent (DPTA) including a memory bandwidth utilization module (MBUM) configured to: determine that the prefetcher is enabled; determine that memory bandwidth utilization of the memory bus exceeds a first threshold; and disable the prefetcher.

Abstract: A wind turbine blade has a disassembled condition defined by separated blade sections. Each blade section has a residual leading edge remaining from an original leading edge of the blade, a residual trailing edge remaining from an original trailing edge of the blade, and a residual length delimited by a severed edge of the blade. Blade support fixtures are configured for mounting on a transportation platform at spaced-apart locations. Each fixture has a plurality of blade-receiving seats, and each seat is configured with reference to a residual edge portion of a respective one of the separated blade sections.

Abstract: A wind turbine blade has a disassembled condition defined by separated blade sections. Each blade section has a residual leading edge remaining from an original leading edge of the blade, a residual trailing edge remaining from an original trailing edge of the blade, and a residual length delimited by a severed edge of the blade. Blade support fixtures are configured for mounting on a transportation platform at spaced-apart locations. Each fixture has a plurality of blade-receiving seats, and each seat is configured with reference to a residual edge portion of a respective one of the separated blade sections.