Abstract: Imaging systems and techniques are described. An imaging system causes a display to display light according to a predefined pattern. The imaging system receives image data of a scene from an image sensor. The image data is captured using the image sensor while the display is configured to display the light according to the predefined pattern. The imaging system processes the image data to generate at least one image frame of the scene based on detection of the predefined pattern in the image data. The imaging system outputs the at least one image frame of the scene.

Abstract: In some implementations, a device may receive a request to merge a first cloud computing instance with a second cloud computing instance to generate a multi-cloud computing instance. The device may access a first application programming interface to obtain a first configuration of the first cloud computing instance. The device may access a second application programming interface to obtain a second configuration of the second cloud computing instance. The device may generate a target configuration based on the first configuration or the second configuration. The device may instantiate a set of resources with the target configuration for the multi-cloud computing instance. The device may provide output identifying the multi-cloud computing instance.

Abstract: Provided are computing systems, methods, and platforms that automatically investigate and analyze the impact of new features or signals on the performance of a machine learning model by producing a ranked list of the most impactful features from input of a set of candidate features. In particular, one example computing system can import a training dataset associated with a user. The computing system can train a machine learning model for the training dataset and generate baseline metrics for the machine learning model. Correlations between features or signals in the training dataset can be identified and the features or signals can be grouped into clusters based on the correlations. The computing system can determine the importance of each cluster and each feature or signal. A ranked list of signals and their importances can be exported in decreasing order of machine learning model performance lift based on cluster importance and signal importance.

Abstract: Systems and techniques are described for determining one or more lens positions. For instance a process can include moving a lens to a first lens position, determining a first light focus value for a first image captured at the first lens position, determining a first infrared (IR) focus value for the first image captured at the first lens position, determining whether the first IR focus value exceeds the first light focus value, moving the lens to a second position based on whether the first IR focus value exceeds the first light focus value, determining a second light focus value for a second image captured at the second position, determining a second IR focus value for a second image captured at the second position, and determining a focused lens position based on the second light focus value, the second IR focus value, and a threshold focus value.

Abstract: Imaging systems and techniques are described. An imaging system can receive image data from an image sensor with different sets of photodetectors sensitive to different electromagnetic (EM) frequency domains. The imaging system determines, based on image data of a scene received from the image sensor, a first focus setting for focusing on the scene using the image sensor in the first domain. The imaging system determines, based on the first focus setting and a difference between respective characteristics of the first domain and a second domain, a second focus setting for focusing on the scene using the image sensor in the second domain. The imaging system causes the image sensor to capture a first image of the scene in the first domain according to the first focus setting, and to capture a second image of the scene in the second domain according to the second focus setting.

Abstract: Systems and techniques are provided for selecting a camera from a plurality of cameras. For example, a process can include obtaining an image from a camera. In some cases, the process can include determining a depth of field (DOF) range associated with a scene captured in the image. In some aspects, the process can include comparing the DOF range associated with the scene captured in the image with one or more DOF ranges of respective cameras of a plurality of cameras. In some examples, the process can include determining a selected camera from the plurality of cameras based on comparing the DOF range associated with the scene captured in the image with respective one or more DOF ranges of each camera of the plurality of cameras.

Abstract: A composition and methods of making or use thereof include a plurality of fibers forming a shape for augmenting tendon to bone repair. The physical presence of the plurality of fibers provides initial fixation, while the use of an osteoinductive material provides long term enhancement of bone formation around the site of the tendon to bone repair.

Abstract: Systems and techniques are provided for selecting a camera from a plurality of cameras. For example, a process can include obtaining an image from a camera. In some cases, the process can include determining a depth of field (DOF) range associated with a scene captured in the image. In some aspects, the process can include comparing the DOF range associated with the scene captured in the image with one or more DOF ranges of respective cameras of a plurality of cameras. In some examples, the process can include determining a selected camera from the plurality of cameras based on comparing the DOF range associated with the scene captured in the image with respective one or more DOF ranges of each camera of the plurality of cameras.

Abstract: A composition and methods of making or use thereof include a plurality of fibers forming a shape for augmenting tendon to bone repair. The physical presence of the plurality of fibers provides initial fixation, while the use of an osteoinductive material provides long term enhancement of bone formation around the site of the tendon to bone repair.

Abstract: A composition and methods of making or use thereof include a plurality of fibers forming a shape for augmenting tendon to bone repair. The physical presence of the plurality of fibers provides initial fixation, while the use of an osteoinductive material provides long term enhancement of bone formation around the site of the tendon to bone repair.

Abstract: A composition and methods of making or use thereof include a plurality of fibers forming a shape for augmenting fixation of a bone screw, or the plurality of fibers form a shape having a peg portion and a sheet portion to augment tendon to bone repair. The physical presence of the plurality of fibers provides initial fixation, while the use of an osteoinductive material provides long term enhancement of bone formation around the site of the bone screw or the tendon to bone repair.

Abstract: An example image capture device includes memory and one or more processors coupled to the memory and a camera sensor. The camera sensor is disposed to receive light through at least a portion of a display. The one or more processors are configured to determine an effective aperture for the camera sensor. The one or more processors are configured to apply a mask to one or more pixels in the at least a portion of the display, wherein the mask is based on the effective aperture. The one or more processors are configured to capture an image using the camera sensor.

Abstract: Methods, systems, and computer program products for generating dialog system workspaces are provided herein. A computer-implemented method includes obtaining (i) a set of policy documents and (ii) a set of initial questions; identifying at least one of the policy documents in the set of policy documents that is relevant to answering a given one of the initial questions in the set of initial questions; generating, based at least in part on an analysis of said identified policy document, (i) at least one follow-up question to said given initial question and (ii) two or more candidate answers to said at least one follow-up question; generating a dialog tree comprising at least (i) a parent node corresponding to the at least one follow-up question and (ii) child nodes corresponding to the two or more candidate answers; translating the dialog tree into a dialog workspace; and deploying the dialog workspace in an intelligent dialog system.

Abstract: An example image capture device includes memory and one or more processors coupled to the memory and a camera sensor. The camera sensor is disposed to receive light through at least a portion of a display. The one or more processors are configured to determine an effective aperture for the camera sensor. The one or more processors are configured to apply a mask to one or more pixels in the at least a portion of the display, wherein the mask is based on the effective aperture. The one or more processors are configured to capture an image using the camera sensor.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: in an information technology (IT) management system, grouping one or more ongoing service failure events into a service failure record; identifying a representative event for the service failure record; identifying one or more conversations that relate to the one or more ongoing service events; computing, using a similarity algorithm, feature similarity scores for respective conversations of the one or more conversations based, at least in part, on the features associated with the representative event and features associated with the respective conversations; linking a subset of the one or more conversations to the one or more ongoing service events in the service failure record based, at least in part, on the computed feature similarity scores; and providing the service failure record to a collaboration platform utilized in addressing the one or more ongoing service events.

Abstract: An automated learning system of a content provider includes a database, an image processing unit, and a server. The database stores data related to visual marks, features of the visual marks, a set of discriminating instances, a position of a region of interest, and pre-defined threshold values. The image processing unit includes a detection module, a determination module, and a feature generation module. The detection module detects frames from a primary display device. The determination module extracts a static visual area, and determines a visual mark. The feature generation module generates discriminating features of the visual mark. The server maps the discriminating features with the stored data, identifies at least one closest visual mark, and transmits the updated visual mark and the discriminating features to secondary display devices.

Abstract: A composition and methods of making or use thereof include a plurality of fibers forming a shape for augmenting fixation of a bone screw, or the plurality of fibers form a shape having a peg portion and a sheet portion to augment tendon to bone repair. The physical presence of the plurality of fibers provides initial fixation, while the use of an osteoinductive material provides long term enhancement of bone formation around the site of the bone screw or the tendon to bone repair.

Abstract: Methods for capturing intended subjects in an image are disclosed. Various embodiments may include determining a first quantity of a bilateral body part of individuals visible in a first preview image obtained by a first camera-lens combination having a first field of view, and automatically selecting one of a plurality of camera-lens combinations to use in capturing an image based on the first quantity of the bilateral body part of individuals visible in the first preview image. Some embodiments may include selecting a wide-angle camera-lens combination in response to the determined quantity of the bilateral body part of individuals visible in a first preview image is odd. Some embodiments may include automatically switching back to a standard or default camera-lens combination if an individual added in a wide-angle image is separated from the individuals visible in the first preview image by a predetermined threshold distance or distance ratio.

Abstract: Methods for capturing intended subjects in an image are disclosed. Various embodiments may include determining a first quantity of a bilateral body part of individuals visible in a first preview image obtained by a first camera-lens combination having a first field of view, and automatically selecting one of a plurality of camera-lens combinations to use in capturing an image based on the first quantity of the bilateral body part of individuals visible in the first preview image. Some embodiments may include selecting a wide-angle camera-lens combination in response to the determined quantity of the bilateral body part of individuals visible in a first preview image is odd. Some embodiments may include automatically switching back to a standard or default camera-lens combination if an individual added in a wide-angle image is separated from the individuals visible in the first preview image by a predetermined threshold distance or distance ratio.

Abstract: Methods, systems, and computer program products for generating dialog system workspaces are provided herein. A computer-implemented method includes obtaining (i) a set of policy documents and (ii) a set of initial questions; identifying at least one of the policy documents in the set of policy documents that is relevant to answering a given one of the initial questions in the set of initial questions; generating, based at least in part on an analysis of said identified policy document, (i) at least one follow-up question to said given initial question and (ii) two or more candidate answers to said at least one follow-up question; generating a dialog tree comprising at least (i) a parent node corresponding to the at least one follow-up question and (ii) child nodes corresponding to the two or more candidate answers; translating the dialog tree into a dialog workspace; and deploying the dialog workspace in an intelligent dialog system.