Abstract: An ergonomic drill guide device with increased visibility is provided. The drill guide device has a handle with a top and bottom. The handle includes a rod and a hand grip. The rod has an outer dimension R. The hand grip at least partially surrounds the rod and has an end portion. The hand grip has an outer dimension H at an end. The drill guide has an outer dimension D. There is a gap G between the end of the end portion and the drill guide. The ratio of R to D is between 0.2 to 1.0.

Abstract: Methods and systems for generating a counterfactual explanation that is robust with respect to a machine learning model and changes in the model are provided. The method includes: receiving raw data and training a model by using the raw data; perturbing the model by modifying the raw data; computing a first counterfactual explanation that relates to the model; computing a first counterfactual stability metric that relates to the original version of the first model and a second counterfactual stability metric that relates to the perturbed version of the first model; retrieving unstable counterfactual factors that relates to original and perturbed versions of the model; deleting data points that include any such unstable counterfactual factor; and reconstructing the model based on data that does not include the deleted data points.

Abstract: Various methods, apparatuses/systems, and media for automatically computing grouped Shapley values for action reason codes are disclosed. A processor utilizes a machine learning model that is configured to output decision data; accesses a database that stores the outputted decision data and data corresponding to groups of related features; establishes a communication link between the machine learning model and the database; directly calculates grouped Shapley values that represent mathematically justifiable measure of importance for the groups of related features by implementing a predefined mathematical algorithm; and outputs reason codes based on the computed grouped Shapley values.

Abstract: A drill guide assembly configured to engage a drill bit, including: a drill guide including: a drill guide tube including a ring and a flared end at a proximal end of the drill guide tube; a drill guide body with a central opening configured to receive the drill guide tube and a tube stop configured to engage the flared end; and a spring configured to engage the ring and distal end of the drill guide body; and a drill guide sleeve with a central opening configured to receive the drill guide including a ring stop configured to engage the ring and a sleeve distal end configured to engage a plate hole on a bone plate, wherein the spring is configured to bias the drill guide tube in a distal direction so that a distal end of the drill guide tube extends from the sleeve distal end.

Abstract: An example method includes determining a subset of content excluding user-specific information displayed by an application on a user interface (UI) of a user device. The method further includes transmitting a request to a remote provider an autofill request for the application. The method also includes receiving one or more suggested user values and a field classification request for a text input field displayed by the application on the UI. The method further includes detecting a user input value in the text input field and determining a similarity metric for each of the one or more suggested user values based on a comparison of the user input value to each of the one or more suggested user values. The method also includes transmitting a response to the field classification request to the remote provide comprising the similarity metric for at least one of the one or more suggested user values.

Abstract: A method and a system for generating a counterfactual explanation for an artificial intelligence (AI) regression model are provided. The method includes: obtaining a mathematical expression that corresponds to the AI regression model and a first value that corresponds to a query instance; and defining a counterfactual potential function by performing a differential continuous mapping between respective output values of the obtained mathematical expression and a real line over a predetermined subset of real numbers. The counterfactual explanation is generated based on a value of the obtained mathematical expression that corresponds to a maximum value of the determined at least one counterfactual potential function.

Abstract: An example method includes determining a subset of content displayed by an application on a user interface (UI) of a user device, wherein the subset excludes user-specific information. The method further includes transmitting a request to a remote provider for at least one template for use with the application, wherein the request comprises the subset of content displayed on the UI. The method also includes receiving a response to the request from the remote provider, wherein the response comprises the at least one template indicating how to process user input data in one or more text input fields displayed by the application on the UI. The method further includes generating a prompt to authorize transmission of the one or more user input values to the remote provider for future use in autofill, wherein the prompt is customized by processing the one or more user input values using the at least one template.

Abstract: An example method includes determining a subset of content displayed by an application on a user interface (UI) of a user device, wherein the subset excludes user-specific information. The method further includes transmitting a request to a remote provider for at least one template for use with the application, wherein the request comprises the subset of content displayed on the UI. The method also includes receiving a response to the request from the remote provider, wherein the response comprises the at least one template indicating how to process user input data in one or more text input fields displayed by the application on the UI, and generating a prompt to authorize transmission of the one or more user input values to the remote provider for future use in autofill, wherein the prompt is customized by processing the one or more user input values using the at least one template.

Abstract: An example method includes determining a subset of content excluding user-specific information displayed by an application on a user interface (UI) of a user device. The method further includes transmitting a request to a remote provider an autofill request for the application. The method also includes receiving one or more suggested user values and a field classification request for a text input field displayed by the application on the UI. The method further includes detecting a user input value in the text input field and determining a similarity metric for each of the one or more suggested user values based on a comparison of the user input value to each of the one or more suggested user values. The method also includes transmitting a response to the field classification request to the remote provide comprising the similarity metric for at least one of the one or more suggested user values.

Abstract: An example method includes determining a subset of content excluding user-specific information displayed by an application on a user interface (UI) of a user device. The method further includes transmitting a request to a remote provider an autofill request for the application. The method also includes receiving one or more suggested user values and a field classification request for a text input field displayed by the application on the UI. The method further includes detecting a user input value in the text input field and determining a similarity metric for each of the one or more suggested user values based on a comparison of the user input value to each of the one or more suggested user values. The method also includes transmitting a response to the field classification request to the remote provide comprising the similarity metric for at least one of the one or more suggested user values.

Abstract: An example method includes determining a subset of content displayed by an application on a user interface (UI) of a user device, wherein the subset excludes user-specific information. The method further includes transmitting a request to a remote provider for at least one template for use with the application, wherein the request comprises the subset of content displayed on the UI. The method also includes receiving a response to the request from the remote provider, wherein the response comprises the at least one template indicating how to process user input data in one or more text input fields displayed by the application on the UI. The method further includes generating a prompt to authorize transmission of the one or more user input values to the remote provider for (Submit) future use in autofill, wherein the prompt is customized by processing the one or more user input values using the at least one template.

Abstract: An example method includes determining a subset of content excluding user-specific information displayed by an application on a user interface (UI) of a user device. The method further includes transmitting a request to a remote provider an autofill request for the application. The method also includes receiving one or more suggested user values and a field classification request for a text input field displayed by the application on the UI. The method further includes detecting a user input value in the text input field and determining a similarity metric for each of the one or more suggested user values based on a comparison of the user input value to each of the one or more suggested user values. The method also includes transmitting a response to the field classification request to the remote provide comprising the similarity metric for at least one of the one or more suggested user values.

Abstract: A person-worn safety device that communicates bi-directionally and wirelessly with a remote receiver system. An accelerometer sensor detects the worker's activity levels to verify the worker's safety, and identify periods of unduly strenuous activity or undue lack of activity. The system also identifies worker position from localized radio signals from terrestrial sources. A manually actuable lever and button are usable by the worker to indicate a need for assistance. A visual or audio interface allows feedback to the worker originated by the device processor or remote server.

Abstract: A person-worn safety device that communicates bi-directionally and wirelessly with a remote receiver system. An accelerometer sensor detects the worker's activity levels to verify the worker's safety, and identify periods of unduly strenuous activity or undue lack of activity. The system also identifies worker position from localized radio signals from terrestrial sources. A manually actuable lever and button are usable by the worker to indicate a need for assistance. A visual or audio interface allows feedback to the worker originated by the device processor or remote server.

Abstract: A person-worn safety device that communicates bi-directionally and wirelessly with a remote receiver system. An accelerometer sensor detects the worker's activity levels to verify the worker's safety, and identify periods of unduly strenuous activity or undue lack of activity. The system also identifies worker position from localized radio signals from terrestrial sources. A manually actuable lever and button are usable by the worker to indicate a need for assistance. A visual or audio interface allows feedback to the worker originated by the device processor or remote server.

Abstract: Many computing device may now include two or more graphics subsystems. The multiple graphics subsystems may have different abilities, and may, for example, consume differing amount of electrical power, with one subsystem consuming more average power than the others. The higher power consuming graphics subsystem may be coupled to the device and used instead of, or in addition to, the lower power consuming graphics subsystem, resulting in higher performance or additional capabilities, but increased overall power consumption. By transitioning from the use of the higher power consuming graphics subsystem to the lower power consuming graphics subsystem, while placing the higher power consuming graphics subsystem in a lower power consumption mode, overall power consumption is reduced.

Abstract: In embodiments of pen tool editing modes, drawing regions of a drawing application can be configured for image creation and editing. A pen tool of the drawing application can be configured for selection to both create an image for display and edit an image in a drawing region. Editing modes of the pen tool can be initiated based on pen tool inputs and without selection of a selection tool. A first pen tool editing mode may be initiated based on a pen tool input to create an image in a new drawing region. Alternatively, a second pen tool editing mode may be initiated based on a pen tool input to create an image in an existing drawing region. Alternatively, a third pen tool editing mode may be initiated based on a pen tool input as a selection of an image to edit the image.

Abstract: Many computing device may now include two or more graphics subsystems. The multiple graphics subsystems may have different abilities, and may, for example, consume differing amount of electrical power, with one subsystem consuming more average power than the others. The higher power consuming graphics subsystem may be coupled to the device and used instead of, or in addition to, the lower power consuming graphics subsystem, resulting in higher performance or additional capabilities, but increased overall power consumption. By transitioning from the use of the higher power consuming graphics subsystem to the lower power consuming graphics subsystem, while placing the higher power consuming graphics subsystem in a lower power consumption mode, overall power consumption is reduced.

Abstract: Many computing device may now include two or more graphics subsystems. The multiple graphics subsystems may have different abilities, and may, for example, consume differing amount of electrical power, with one subsystem consuming more average power than the others. The higher power consuming graphics subsystem may be coupled to the device and used instead of, or in addition to, the lower power consuming graphics subsystem, resulting in higher performance or additional capabilities, but increased overall power consumption. By transitioning from the use of the higher power consuming graphics subsystem to the lower power consuming graphics subsystem, while placing the higher power consuming graphics subsystem in a lower power consumption mode, overall power consumption is reduced.

Abstract: Many computing device may now include two or more graphics subsystems. The multiple graphics subsystems may have different abilities, and may, for example, consume differing amount of electrical power, with one subsystem consuming more average power than the others. The higher power consuming graphics subsystem may be coupled to the device and used instead of, or in addition to, the lower power consuming graphics subsystem, resulting in higher performance or additional capabilities, but increased overall power consumption. By transitioning from the use of the higher power consuming graphics subsystem to the lower power consuming graphics subsystem, while placing the higher power consuming graphics subsystem in a lower power consumption mode, overall power consumption is reduced.