Abstract: A system includes data processing hardware and memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations including inputting cellular range data, barometric sensor data, GNSS data, and automotive inertial data into a Kalman filter and outputting from the Kalman filter an estimate of elevation distance of a vehicle based on the cellular range data, the barometric sensor data, the GNSS data, and the automotive inertial data.

Abstract: Systems and methods for a self-improving model for agentic visual program synthesis. An agent can be continuously trained using an optimal training tuple to perform a corrective action to a monitored entity which in turn generates new input data for the training. To train the agent, an input question can be decomposed into vision model tasks to generate task outputs. The task outputs can be corrected based on feedback to obtain corrected task outputs. The optimal training tuple can be generated by comparing an optimal tuple threshold with a similarity score of the input image, the input question, and the corrected task outputs.

Abstract: Methods, apparatus, and processor-readable storage media for security-related risk detection using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data related to at least one user associated with at least one interaction; identifying information pertaining to the at least one user by processing at least a portion of the obtained data using one or more artificial intelligence techniques; determining, based at least in part on at least a portion of the identified information, one or more security risks associated with the at least one user within a context of the at least one interaction; and performing one or more automated actions based at least in part on the one or more determined security risks.

Abstract: A method and system for implementing real-time feedback to a user of a personal transport device, such as an electric scooter, based on prosocial behavior is provided. In one embodiment, the method includes detecting at least one object located on a path on which the personal transport device is traveling and calculating a prosocial yielding behavior parameter associated with the at least one object and the personal transport device. The method also includes comparing the calculated prosocial yielding behavior parameter to a threshold value and, based on the comparison of the calculated prosocial yielding behavior parameter to the threshold value, providing real-time feedback to the user of the personal transport device.

Abstract: A method of generating a simulated image for training a model to detect resident space objects (RSOs), a method of training the model, and a method of detecting RSOs are provided. The method includes generating a foreground of the simulated image including RSOs by calculating coordinates of an imaging satellite at a given time, determining an area of interest given a field of view (FOV) of the imaging satellite, and calculating coordinates of all RSOs and saving the coordinates if the RSO is within the area of interest. The method further includes generating a background of the simulated image including stars by querying a star catalogue database for coordinates of all stars that fall inside the FOV, adding noise, and translating RSO and star coordinates to pixel coordinates. The method further includes generating the simulated image by choosing an imaging mode, setting an exposure time, and rendering the simulated image.

Abstract: Methods and systems for managing configuration of data processing systems are disclosed. Configuration of data processing systems may be managed by limiting connectivity to components of data processing systems and credentialing access for the components. To enable access to components of data processing systems, the operation of the components may be updated for limited durations of time to allow various devices to communicate with these components. While allowed to communicate, the components of the data process system may restrict access to credentialed users.

Abstract: In some aspects of the disclosure, an apparatus includes a processing system that includes one or more processors and one or more memories coupled to the one or more processors. The processing system is configured to receive sensor data associated with a scene and to generate a cylindrical representation associated with the scene. The processing system is further configured to modify the cylindrical representation based on detecting a feature of the cylindrical representation being included in a first region of the cylindrical representation. Modifying the cylindrical representation includes relocating the feature from the first region to a second region that is different than the first region. The processing system is further configured to perform, based on the modified cylindrical representation, one or more three-dimensional (3D) perception operations associated with the scene.

Abstract: An electronic device, a method and a computer program product for managing alarms. The method includes detecting, via a processor of an electronic device configured with alarm functionality, activation of a first alarm. The first alarm set to trigger at a first time. The method includes monitoring for receipt of incoming communications that are not attended to by a user of the electronic device and identifying that an incoming communication contains information that warrants performing an alarm modification corresponding to the first alarm. In response to identifying that the incoming communication contains the information that warrants performing an alarm modification, the method includes determining a time adjustment period based on the at least one information message. The method includes adjusting the first time, by the time adjustment period, to generate a second time and updating the first alarm to be triggered at the second time.

Abstract: A machine-learned predictive model is trained to predict potential for customer complaint. The model is part of an online concierge system. The online concierge system accesses a customer order that includes one or more items. The online concierge system determines input data for an item of the one or more items. The online concierge system determines a prediction value associated with potential for customer complaint for the item by applying the machine-learned prediction model to the input data. The online concierge system provides the prediction value to a picker client device associated with a picker who is assigned the item. The picker client device presents an alert to the picker based in part on the prediction value, and the alert includes a message that is customized to mitigate a cause of potential customer complaint for the item.

Abstract: A method and system for modifying range of a battery of a personal transport device based on prosocial behavior is described. In one embodiment, the method includes detecting at least one object located on a path on which the personal transport device is traveling and calculating a prosocial yielding behavior parameter associated with the at least one object and the personal transport device. The method also includes comparing the calculated prosocial yielding behavior parameter to a threshold value. Based on the comparison of the calculated prosocial yielding behavior parameter to the threshold value, access is provided to at least a part of a power reserve portion of a battery of the personal transport device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media relate to a method for creating a data environment and a computational environment to perform data processing and real-time data request management. The system provides for the creation of definition files to create a data environment to periodically precompute aggregated data values, and the creation of an execution environment in which features may be defined to process a real-time request with at least one of the features accessing one of the created datasets.

Abstract: A computer-implemented user-friendly system and method of designing and managing smart contracts on a distributed ledger (blockchain). The system creates a number of computer programs that correspond to a business user's model of the contract terms. In this manner, the business user can generate the smart contract without needing to understand programming or involve third parties like developers.

Abstract: Exemplary methods for use in identifying crosses for use in plant breeding are disclosed. One exemplary method includes generating population prediction scores for each potential cross within a set of potential crosses, where each population prediction score is associated with a prediction of commercial success for the associated potential cross within the set of potential crosses. The method also includes selecting a subgroup of potential crosses, based on thresholds associated with the population prediction scores for the set of potential crosses. The exemplary method further includes selecting multiple target crosses from the subgroup of potential crosses based on a genetic relatedness of the parents in the subgroup of potential crosses, and directing ones of the selected target crosses into a breeding pipeline, thereby providing crosses to the breeding pipeline based, at least in part, on commercial success of parents included in the selected ones of the filtered crosses.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: An electronic device includes an external panel material having an exterior visual characteristic that can be dynamically changed by a device-generated trigger. A controller of the device is communicatively coupled to at least one orientation sensor. The controller receives an input corresponding to a first context pre-identified as a condition that triggers a change in the exterior visual characteristic of the material. The controller identifies from sensor input received from the at least one orientation sensor whether the electronic device is in a first orientation that enables the external panel to be visible to a device user. In response to the electronic device being in the first orientation concurrently with receiving the input corresponding to the first context, the controller generates and transmits a change activation signal that changes the exterior visual characteristic of the external panel material from a first visible state to a second visible state.

Abstract: An aerial base station is disclosed comprising a directive backhaul antenna for obtaining a backhaul link to a ground-based donor base station. The directive backhaul antenna is arranged on a body of the aerial base station such that a direction of a main beam of the directive backhaul antenna towards the donor base station is essentially parallel to an axis of a largest dimension of the directive backhaul antenna. The directive backhaul antenna is mounted such that the axis of the largest dimension is parallel to the body of the aerial base station.

Abstract: Methods and systems are herein provided for determining operating conditions of a magnetic resonance (MR) scanner based on data of one or more implants of a patient and storing the data of the one or more implants are provided. In one examples, a method comprises obtaining data of one or more implants of a patient from one or more sources; determining one or more configurations of each of the one or more implants; displaying, via a graphical user interface (GUI), the data and the one or more configurations; determining a recommendation configuration based on the one or more configurations; determining a selected configuration via user input to the GUI; and determining operating conditions of an MRI scanner based on the selected configuration for an MRI exam.

Abstract: A VCSEL array includes adjacent first and second VCSEL elements and a trench surrounding the VCSEL arrays. The first and second VCSEL elements include a first output window and a second output window. The first VCSEL element includes a part of a metal layer shared by the first and second VCSEL elements. The distance between the inner edge of the trench and the center of the first output window is larger than half the distance between centers of the first and second output windows.

Abstract: Embodiments of the present disclosure generally relate to epitaxial film stacks and vapor deposition processes for preparing the epitaxial film stacks. In one or more embodiments, a carbon-doped silicon-germanium and silicon mini-stack is produced with relatively low defects or crystal imperfections. A multi-layered epitaxial stack containing a plurality of the carbon-doped silicon-germanium and silicon mini-stacks is deposited on a substrate. Each multi-layered epitaxial stack contains a carbon-doped silicon germanium stack and a silicon film. The carbon-doped silicon germanium stack contains a carbon-silicon-germanium layer disposed between a first silicon-germanium layer and a second silicon-germanium layer. The silicon film contains the silicon bulk layer disposed on the silicon seed layer.

Abstract: Certain aspects of the disclosure provide systems and methods for generating meaningful insights from a data frame based on an insight score. An insight score may quantify the significance and confidence of a given insight. Aspects of the disclosure provide for optimizing the most meaningful insight based on a greedy binary search approach. Aspects of the disclosure further provide for obtaining the optimal insight based on a gradient search approach.