Abstract: Methods for disease risk assessment using multiple data sources, and computer programs for implementing same.

Abstract: Aspects presented herein relate to methods and devices for data or graphics processing including an apparatus, e.g., a GPU. The apparatus may obtain an indication of a plurality of workloads for graphics processing. The apparatus may also perform a binning process for a first workload of the plurality of workloads. Further, the apparatus may divide the first workload into a plurality of first sub-workloads and a second workload of the plurality of workloads into a plurality of second sub-workloads. The apparatus may also perform a rendering process for at least one first sub-workload of the plurality of first sub-workloads and a binning process for at least one second sub-workload of the plurality of second sub-workloads. The apparatus may also perform a rendering process for the at least one second sub-workload prior to a completion of the rendering process for the at least one first sub-workload.

Abstract: Systems and methods of user segmentation and customized interface generation are disclosed. A user data structure including a set of user features is obtained. A segment probability for each of a plurality of segments is generated by a deep neural net classifier model that receives a first subset of the user features. A classification probability of the user data structure is generated for each of the plurality of segments by a data segmentation model configured to receive the segment probability from the deep neural net classifier model and a second subset of the user features. A user-application-segment score is generated based on a weighted combination of the segment probability and the classification probability for the at least one of the plurality of segments. The weighted combination is applied by a combinatorial model. The user data structure is modified to include an application-specific label based on the user-application-segment score.

Abstract: Systems and methods are described herein for providing seamless service route updates for service routing platforms. When a request for a new service route is received, the system may use the data within the request to transform the service route into a format supported by one or more platforms that will have the route setup. Once the transformation has been completed, the system may store the transformed service route or service routes in a route repository. In addition, the system may store the service route in a standardized format separately. The system may then determine that a new service route has been added and match the new service route with one or more service routing platforms. Once the match has been made, for each service route, the system may transmit the transformed service routes to the corresponding service routing platforms.

Abstract: A system can collect system logs from a computer, and store the system logs in data storage of a cloud computing platform. The system can instruct the cloud computing platform to structure and analyze the system logs. The system can, based on the analyzing, determine a probability of a failure of a component of the computer. The system can, based on determining that a value of the probability falls within a specified range of probability values, trigger a defined action of the defined actions that comprises triggering a data backup of the computer, determine a root cause of the failure of the component, and trigger a self-healing action of the computer, wherein the self-healing action is based on the root cause of the failure of the component. The system can, after the self-healing action is performed, recover the backed up data to the computer.

Abstract: A patient support apparatus and a method of notifying persons within a vicinity of the patient support apparatus are disclosed. The patient support apparatus includes a patient support structure for supporting a patient, an actuator for moving the patient, a notification system, and a controller coupled to the notification system and the actuator. The controller receives a selection of a remote control function via a communication network, generates a notification in response to receiving the selection of the remote control function, and transmits an output signal to the actuator based on the selection of the remote control function. The notification system executes the notification prior to the controller transmitting the output signal to the actuator.

Abstract: Methods, systems, and apparatus for generating user interface elements for an entity in response to a search query. The method includes receiving a request that includes the entity and one or more context terms. In response to determining to provide the search results page including knowledge elements, the method identifies knowledge elements for the entity that include facts relating to the entity and identifies content in at least one knowledge element of the knowledge elements for the entity that relates to data identifying the entity and the one or more context terms. The method generates the user interface elements for at least some of the knowledge elements, including generating a user interface element for the knowledge element that includes a change of appearance of the content. The user interface elements are provided in the search results page in response to the request.

Abstract: A ceramic body is provided that is suitable for use in dental applications to provide a natural aesthetic appearance. A colorized ceramic body is formed that has at least one color region and a color gradient region. A ceramic body is formed having at least two color regions and a color gradient that forms a transition region between two color regions. A method for making the colorized ceramic body includes unidirectional infiltration of a coloring composition into the ceramic body.

Abstract: Some examples of the techniques described herein may address one or more issues for some non-linear channel codes (e.g., for artificial intelligence-based channel codes that are non-linear or that generate codes in the set of real numbers). Some of the techniques described herein, using a non-linear code with unequal error probabilities among codewords, may reduce error probability differences (e.g., may provide equal or approximately equal error probabilities) regardless of the messages to be transmitted while maintaining reduced average error probability. In some examples, scrambling may be performed to achieve reduced error probability differences among codewords for a non-linear code. Other scrambling approaches may be used to randomize inter-cell interference or to avoid biases in the generated codewords. In some approaches, scrambling may be performed after channel coding. Some examples of the techniques described herein may include performing scrambling before channel coding.

Abstract: Methods and systems for securing an application programming interface (API) are presented. The method comprises: receiving API workflow data associated with an API testing tool and generating a scan configuration file using the API workflow data; crawling the collection of API requests by identifying and retrieving a link associated with the collection of API requests; and crawling the link to generate a crawled link response. The method also includes executing one or more vulnerability tests on the crawled link response including applying at least one passive detection rule to the crawled link response and fuzzing the link. The fuzzed link may be transmitted in a request to an application server following which scan data indicative of at least one vulnerability associated with a response from the application server may be generated. The scan data may be used to generate a vulnerability report.

Abstract: An automated method and kiosk for obtaining diagnostic images of a patient are provided. The method is performed by receiving personal information about the patient at the automated kiosk, obtaining, with a diagnostic imaging system at the automated kiosk, a first diagnostic image of the patient from a first projection angle relative to at least one body part of the patient, and obtaining, with the diagnostic imaging system, a second diagnostic image of the patient from a second projection angle relative to the at least one body part. The method steps are performed without real-time control of the automated kiosk by another human.

Abstract: A system includes a displacement sensor configured to measure one or more properties of a top surface of a substrate. The one or more properties are associated with at least one of substrate bow or substrate warpage. The system further includes a processing device communicatively coupled to the displacement sensor. The processing device is configured to receive, from the displacement sensor, sensor data indicative of the one or more properties of the top surface of the substrate, construct a substrate topology map based on the received sensor data, and cause management of the substrate based on the substrate topology map.

Abstract: A robotic system configured for performing a task of loading and unloading goods. The robotic system comprises a mobile base assembly, an actuation assembly coupled to the mobile base assembly and configured to move with respect to the base assembly, and a head assembly mounted atop the actuation assembly or the mobile base assembly. The head assembly comprises one or more sensors configured to collect data related to an operation environment and the task to be performed. The robotic system further comprises a dynamic conveyor coupled to the mobile base assembly. The dynamic conveyor comprises a platform. The robotic system furthermore comprises a control unit configured to move the platform to align the platform with respect to the goods to be loaded or unloaded. Further, the robotic system comprises a manipulation arm coupled to the actuation assembly or the dynamic conveyor and configured to move to perform the task.

Abstract: According to one embodiment, a method, computer system, and computer program product for contextual route guidance is provided. The embodiment may include receiving user information related to a current travel route. The embodiment may further include identifying current status information associated with a transportation hub through IoT-collected data. The embodiment may also include generating a navigation path for a user to reach a destination within the transportation hub based on the received user information and the identified current status information. The embodiment may further include presenting the navigation path to the user.

Abstract: Systems, methods, and computer-readable storage media for reinforcing and modifying the search engine behavior using aspects of federated learning. A system can receive from a user at a first time, a query for a product, then generate a vector representation of the query, and execute a search of an embedding space for the vector representation, resulting in at least one similarity score for at least one product. The system can present to the user search results based on the at least one similarity score, and receive from the user a selected product from within the search results. The system can update, based on the selected product, the at least one similarity score for the selected product, resulting in at least one updated similarity score, where when the query is received again the search of the embedding space for the vector representation produces the at least one updated similarity score.

Abstract: The various embodiments described herein include methods, devices, and systems for customizing dental care. In one aspect, personalized toothbrush devices are 3-D printed for a plurality of users. A 3-D dental model of a respective user's mouth is obtained, and a configuration for a mouthpiece of a respective personalized toothbrush device is determined. The respective personalized toothbrush device is 3-D printed, and includes a top cleaning tray, a bottom cleaning tray, and a set of cleaning elements, each customized based at least in part on the 3-D dental model of the respective user's mouth. Each personalized toothbrush device is 3-D printed for each respective user of the plurality of users, and is different from every other user's personalized toothbrush device.

Abstract: Provided are apparatus, method, and device for managing network neighbor data. According to embodiments, the method may be configured to: receiving, by a configuration manager, updated data of one or more neighboring cells in a telecommunications network; saving, by the configuration manager, the updated data into persistent storage; displaying, by the configuration manager, the updated data in a graphical user interface (GUI); and receiving, by the configuration manager, a first instruction to change a configuration in the one or more neighboring cells.

Abstract: Methods, systems, and computer-readable storage media for receiving a communication, aggregating user data and event data, the user data representative of a user that as an addressee of the communication, the event data representative of an event described in the communication, determining, from a GNN, a sub-GNN that is specific to the user, the GNN including a data structure that represents users of an enterprise and relationships between users, the sub-GNN representing a portion of the GNN, providing an updated sub-GNN based on the event data, generating a recommendation regarding the event using the updated sub-GNN, the recommendation being specific to the user, providing reason text from a LLM responsive to a prompt, and transmitting a notification to the user, the notification including the recommendation and the reason text.

Abstract: An apparatus for generating annotations for electronic records is disclosed. The apparatus includes a processor and a memory containing instructions configuring the processor to receive unstructured data for a plurality of electronic records and generate a plurality of machine learning models (MLMs), wherein each MLM of the plurality of MLMs is trained using a machine learning algorithm. The processor is further configured to generate at least one annotation for the unstructured data using each MLM of the plurality of MLM and structure the unstructured data as structured data as a function of the generated annotations.

Abstract: The present invention describes an Artificial Intelligence (AI) based Advanced Driver Assistance System (ADAS) testing tool. The testing tool comprises a processing unit configured to filter out, using a pre-trained noise cancellation ML model, the received audio signals to isolate noise signals from the received audio signals. Sequentially, the processing unit is configured to, using a using a pre-trained audio classification ML model, identify one or more audio signal from the filtered-out audio signals relating to ADAS audio signals and classify each of the one or more identified signals into a frequency class based on their distinct frequency characteristics. Finally, the processing unit is configured to evaluate each of the classified signal based on ADAS actions associated with the vehicle and generate test results of ADAS testing on each of the classified audio signals, based on the evaluation.