Abstract: Various methods for a 3GPP defined Charging and Collection Function are employed that may use a microservices approach. The microservice approach may decompose the function of the network elements into component level functions that may be deployed as separate functional elements.

Abstract: Wearable systems and method for operation thereof incorporating headset and controller localization using headset cameras and controller fiducials are disclosed. A wearable system may include a headset and a controller. The wearable system may alternate between performing headset tracking and performing controller tracking by repeatedly capturing images using a headset camera of the headset during headset tracking frames and controller tracking frames. The wearable system may cause the headset camera to capture a first exposure image an exposure above a threshold and cause the headset camera to capture a second exposure image having an exposure below the threshold. The wearable system may determine a fiducial interval during which fiducials of the controller are to flash at a fiducial frequency and a fiducial period. The wearable system may cause the fiducials to flash during the fiducial interval in accordance with the fiducial frequency and the fiducial period.

Abstract: A light emitting user input device can include a touch sensitive portion configured to accept user input (e.g., from a user's thumb) and a light emitting portion configured to output a light pattern. The light pattern can be used to assist the user in interacting with the user input device. Examples include emulating a multi-degree-of-freedom controller, indicating scrolling or swiping actions, indicating presence of objects nearby the device, indicating receipt of notifications, assisting pairing the user input device with another device, or assisting calibrating the user input device. The light emitting user input device can be used to provide user input to a wearable device, such as, e.g., a head mounted display device.

Abstract: In an illustrative embodiment, an automated system links data files associated with loan submissions that have different identification attributes. The system may include computing systems and devices for receiving requests from a number of remote computing systems to identify loan products associated with a data file. The system can generate a matching input matrix comparing identification attributes from a first data file to identification attributes of candidate data files. The system can apply attribute matching rules to the matching input matrix to identify other data files that correspond to the same loan product as the first data file despite the data files having different identification attributes. The system can link data files corresponding to the same loan product within a data repository with a product linking key and output the linking key or other data for the loan product to a receiving computing system.

Abstract: A light-emitting user input device can include a touch sensitive portion configured to accept user input (e.g., from a user's thumb) and a light-emitting portion configured to output a light pattern. The light pattern can be used to assist the user in interacting with the user input device. Examples include emulating a multi-degree-of-freedom controller, indicating scrolling or swiping actions, indicating presence of objects nearby the device, indicating receipt of notifications, assisting pairing the user input device with another device, or assisting calibrating the user input device. The light-emitting user input device can be used to provide user input to a wearable device, such as, e.g., a head mounted display device.

Abstract: A light emitting user input device can include a touch sensitive portion configured to accept user input (e.g., from a user's thumb) and a light emitting portion configured to output a light pattern. The light pattern can be used to assist the user in interacting with the user input device. Examples include emulating a multi-degree-of-freedom controller, indicating scrolling or swiping actions, indicating presence of objects nearby the device, indicating receipt of notifications, assisting pairing the user input device with another device, or assisting calibrating the user input device. The light emitting user input device can be used to provide user input to a wearable device, such as, e.g., a head mounted display device.

Abstract: Real-time intervention of an industrial process can include searching for a batch of candidate configurations for use by the industrial process, the batch of candidate configurations searched for by performing a batch Bayesian optimization (BBO). The batch of candidate configurations is transmitted to the industrial process to use in running the industrial process. A result of the run is received from the industrial process. Using the result in the BBO, a next batch of candidate configurations is searched. Whether a stopping criterion is met is determined, based on the next batch of candidate configurations and by applying a function to a BBO acquisition score. Responsive to determining that the stopping criterion is met, searching for the next batch of candidates is terminated.

Abstract: A light emitting user input device can include a touch sensitive portion configured to accept user input (e.g., from a user's thumb) and a light emitting portion configured to output a light pattern. The light pattern can be used to assist the user in interacting with the user input device. Examples include emulating a multi-degree-of-freedom controller, indicating scrolling or swiping actions, indicating presence of objects nearby the device, indicating receipt of notifications, assisting pairing the user input device with another device, or assisting calibrating the user input device. The light emitting user input device can be used to provide user input to a wearable device, such as, e.g., a head mounted display device.

Abstract: In an illustrative embodiment, an automated system links data files associated with loan submissions that have different identification attributes. The system may include computing systems and devices for receiving requests from a number of remote computing systems to identify loan products associated with a data file. The system can generate a matching input matrix comparing identification attributes from a first data file to identification attributes of candidate data files. The system can apply attribute matching rules to the matching input matrix to identify other data files that correspond to the same loan product as the first data file despite the data files having different identification attributes. The system can link data files corresponding to the same loan product within a data repository with a product linking key and output the linking key or other data for the loan product to a receiving computing system.

Abstract: Systems, computer-implemented methods and/or computer program products that can facilitate providing a defined parameter, determining whether to employ the defined parameter for a variational quantum algorithm, and running the variational quantum algorithm on a quantum system, are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a decision component that determines, based upon an uncertainty prediction regarding the usability of the defined parameter that has been output from a machine learning model, whether to employ the defined parameter in a variational quantum algorithm, such as run on a quantum system.

Abstract: Various methods for a 3GPP defined Charging and Collection Function are employed that may use a microservices approach. The microservice approach may decompose the function of the network elements into component level functions that may be deployed as separate functional elements.

Abstract: Classifying genetic sequences by receiving genetic sequence data according to sequence features associated with gene expression, determining a genetic sequence feature set, determining a first classification for the genetic sequence feature set according to a machine learning model, defining a causal feature set associated with the first classification for the genetic sequence according to the machine learning model, altering the causal feature set for the genetic sequence, yielding an altered causal feature set, determining a second classification for the altered causal feature set according to the machine learning model, wherein the second classification differs from the first classification, and defining a set of target features, wherein the target features include causal features the altered causal feature set.

Abstract: Various methods for a 3GPP defined Charging and Collection Function are employed that may use a microservices approach. The microservice approach may decompose the function of the network elements into component level functions that may be deployed as separate functional elements.

Abstract: Real-time intervention of an industrial process can include searching for a batch of candidate configurations for use by the industrial process, the batch of candidate configurations searched for by performing a batch Bayesian optimization (BBO). The batch of candidate configurations is transmitted to the industrial process to use in running the industrial process. A result of the run is received from the industrial process. Using the result in the BBO, a next batch of candidate configurations is searched. Whether a stopping criterion is met is determined, based on the next batch of candidate configurations and by applying a function to a BBO acquisition score. Responsive to determining that the stopping criterion is met, searching for the next batch of candidates is terminated.

Abstract: A light emitting user input device can include a touch sensitive portion configured to accept user input (e.g., from a user's thumb) and a light emitting portion configured to output a light pattern. The light pattern can be used to assist the user in interacting with the user input device. Examples include emulating a multi-degree-of-freedom controller, indicating scrolling or swiping actions, indicating presence of objects nearby the device, indicating receipt of notifications, assisting pairing the user input device with another device, or assisting calibrating the user input device. The light emitting user input device can be used to provide user input to a wearable device, such as, e.g., a head mounted display device.

Abstract: A light emitting user input device can include a touch sensitive portion configured to accept user input (e.g., from a user's thumb) and a light emitting portion configured to output a light pattern. The light pattern can be used to assist the user in interacting with the user input device. Examples include emulating a multi-degree-of-freedom controller, indicating scrolling or swiping actions, indicating presence of objects nearby the device, indicating receipt of notifications, assisting pairing the user input device with another device, or assisting calibrating the user input device. The light emitting user input device can be used to provide user input to a wearable device, such as, e.g., a head mounted display device.

Abstract: A light emitting user input device can include a touch sensitive portion configured to accept user input (e.g., from a user's thumb) and a light emitting portion configured to output a light pattern. The light pattern can be used to assist the user in interacting with the user input device. Examples include emulating a multi-degree-of-freedom controller, indicating scrolling or swiping actions, indicating presence of objects nearby the device, indicating receipt of notifications, assisting pairing the user input device with another device, or assisting calibrating the user input device. The light emitting user input device can be used to provide user input to a wearable device, such as, e.g., a head mounted display device.

Abstract: Various methods for a 3GPP defined Charging and Collection Function are employed that may use a microservices approach. The microservice approach may decompose the function of the network elements into component level functions that may be deployed as separate functional elements.

Abstract: Various methods for a 3GPP defined Charging and Collection Function are employed that may use a microservices approach. The microservice approach may decompose the function of the network elements into component level functions that may be deployed as separate functional elements.

Abstract: Various methods for a 3GPP defined Charging and Collection Function are employed that may use a microservices approach. The microservice approach may decompose the function of the network elements into component level functions that may be deployed as separate functional elements.