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: 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: 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 network that receives medical images of a patient and generates a 3D rendering of the various medical images. A surgeon or physician is enabled to select workflow objects (such as various tools). The workflow objects can be selected in a sequence for performing actions on the 3D rendering. Data related to the workflow objects and actions in relation to the 3D rendering are stored. The surgeon or physician is enabled to select and perform various repairing techniques and input calculations of the actions performed. The user inputs, workflow objects, and actions with respect to the 3D rendering are sent to a surgical robot for performing robotic joint arthroscopic surgery.

Abstract: Methods, apparatuses, and systems for in situ end effector tool changers for a surgical robot are provided. The surgical robot receives information describing user inputs, tools, tool connectors, and data files containing surgical actions for robotic movements from a surgery network. The surgical robot extracts tool connectors for a surgical step in the surgical process and attaches the tool connectors. The surgical robot extracts surgical tools for the surgical step and attaches the tool connectors. The surgical robot extracts a data file containing movements of the end effectors of the surgical robot to perform a surgical action or function. The surgical robot executes the data file to perform the action or function to complete a step in the surgical process.

Abstract: Methods, apparatuses, and systems for performing robotic joint arthroscopic surgery are disclosed. The disclosed systems use a surgical robot network that receives medical images of a patient and generates a 3D rendering of the various medical images. A surgeon or physician is enabled to select workflow objects (such as various tools). The workflow objects can be selected in a sequence for performing actions on the 3D rendering. Data related to the workflow objects and actions in relation to the 3D rendering are stored. The surgeon or physician is enabled to select and perform various repairing techniques and input calculations of the actions performed. The user inputs, workflow objects, and actions with respect to the 3D rendering are sent to a surgical robot for performing robotic joint arthroscopic surgery.

Abstract: Methods, apparatuses, and systems for in situ end effector tool changers for a surgical robot are provided. The surgical robot receives information describing user inputs, tools, tool connectors, and data files containing surgical actions for robotic movements from a surgery network. The surgical robot extracts tool connectors for a surgical step in the surgical process and attaches the tool connectors. The surgical robot extracts surgical tools for the surgical step and attaches the tool connectors. The surgical robot extracts a data file containing movements of the end effectors of the surgical robot to perform a surgical action or function. The surgical robot executes the data file to perform the action or function to complete a step in the surgical process.

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: 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.