Abstract: Systems and methods for capturing sentiments and delivering elevated proactive user experience are disclosed.

Abstract: Certain aspects of the present disclosure provide techniques for handover timelines and power optimization for user equipment (UE) in multiple subscriber identity module (MSIM) dual receive (DR) scenarios. An example method, performed by a UE, includes entering a DR mode in which a first subscriber identity module (SIM) is active in a first radio access technology (RAT) and a second SIM is idle in a second RAT, identifying one or more channel frequencies, of a neighbor channel frequency list, that are incompatible with the DR mode, and performing a channel measurement procedure with the second SIM, on a subset of the neighbor channel frequency list that does not include the one or more channel frequencies that are incompatible with the DR mode.

Abstract: Method for emptying an SCR supply system, wherein the SCR supply system comprises a pump with a pump chamber and an actively controllable inlet valve and an actively controllable outlet valve, wherein an emptying process of the SCR supply system is detected and controlled as a function of the pressure curve in negative pressure phases and/or criteria determined in pressure release phases.

Abstract: Systems and methods for controlling a cruise control system of a vehicle using the moods of one or more occupants are described herein. In one example, a system includes a processor and a memory in communication with the processor. The memory includes instructions that, when executed by the processor, cause the processor to determine, using a mood model, the mood of at least one occupant of a vehicle and a setting for a cruise control to maintain a distance between the vehicle and a preceding vehicle based on the determined mood. The instructions then cause the processor to set the cruise control to operate according to the setting.

Abstract: An active road surface maintenance system and method developed for connected vehicles with the aid of a mobility digital twin (MDT) framework. A method performed in a cloud-based digital space includes receiving data regarding a physical object from a physical space connected to a vehicle. The method also includes processing the data using machine learning to model road surface conditions, in which respective penalty values are assigned to corresponding road surfaces, a respective penalty value being higher the lower a condition of the corresponding road surface. The method also includes deriving instructions based on the modeled road surface conditions and the respective penalty values to guide actuation of the vehicle along a trajectory. The method further includes transmitting the instructions to the physical space connected to the vehicle to guide actuation of the vehicle.

Abstract: A system and method for optimizing pre-departure sequencing instantiates independent agent processes for each aircraft. Each independent agent is trained via multi-agent reinforcement machine learning with an existing set of data to maximize that agent's individual reward within established bounds and while cooperating with each other agent. The interaction of the independent agents produces an optimized pre-departure sequence. The individual reward is defined with respect to a change between the current timestamp and the newly suggested timestamp. A lower delta results in a higher reward.

Abstract: Techniques are disclosed to use robotic system simulation to control a robotic system. In various embodiments, a communication indicating an action to be performed by a robotic element is received from a robotic control system. Performance of the action by the robotic element is simulated. A state tracking data is updated to reflect a virtual change to one or more state variables as a result of simulated performance of the action. Successful completion of the action by the robotic element is reported to the robotic control system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an automated calling system are disclosed. In one aspect, a method includes the actions of receiving audio data of an utterance spoken by a user who is having a telephone conversation with a bot. The actions further include determining a context of the telephone conversation. The actions further include determining a user intent of a first previous portion of the telephone conversation spoken by the user and a bot intent of a second previous portion of the telephone conversation outputted by a speech synthesizer of the bot. The actions further include, based on the audio data of the utterance, the context of the telephone conversation, the user intent, and the bot intent, generating synthesized speech of a reply by the bot to the utterance. The actions further include, providing, for output, the synthesized speech.

Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.

Abstract: The present invention provides for a system and a method for improved representation of classical data on quantum systems. Input classical data is received and a feature set is created from the classical data. A functional transformation is performed on the created feature set to reduce high dimensional data associated with the feature set and a low dimensional feature space dataset is generated. A feature space transformation is performed on the low-dimensional feature space dataset to obtain a new feature space dataset with enhanced feature representation of the low-dimensional feature space dataset in a multi-dimensional space. The new feature space dataset results in optimal mapping of the input classical data into a quantum format. The new feature space dataset is sampled and batches of the sampled dataset are selected. The sampled dataset is mapped into an optimized quantum format for loading the sampled dataset into quantum states.

Abstract: A method for a graphical user interface (GUI) of a computer system is provided. The method comprises displaying within a first portion the GUI, an electro-anatomical map of the heart, said electro-anatomical map comprising a plurality of measurement points within the heart for which data was collected; displaying a plurality of markers, each representing a respective one of said measurement points spatially in relation to the geometry of the heart within said first portion; determining, by a processor, user-selection of a particular measurement point within the heart through selection of its associated marker; responsive to said user-selection of the particular measurement point, retrieving at least one metric associated with said measurement point; and displaying in a second portion of the GUI, each retrieved metric associated with a particular measurement point within the heart.

Abstract: Analyzing the complexity of an object of a scene in a media steam (or media data) performed by at least one processor, is provided, including receiving immersive media data comprising a plurality of scenes from a content source; obtaining a respective object of a respective scene in the plurality of scenes, from the immersive media data; analyzing the respective scene to generate complexity information associated with the respective object of the respective scene; generating metadata associated with the respective object of the respective scene, the metadata comprising the complexity information; and determining whether to distribute the respective scene to a client for processing based on the generated metadata.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-storage media, for prioritizing test cases. Processes may include obtaining test artifacts that were generated based on testing one or more legacy versions of a software application using multiple test cases, generating a risk index based at least on the test artifacts that were generated based on testing the one or more legacy versions of the software application using the multiple test cases, and training an ensemble model that is configured to identify likely unnecessary or redundant test cases in connection with in testing an updated version of the software application, based at least on the risk index.

Abstract: A system for maintaining accurate health data and for providing rewards to data market participants. A marketplace platform based on Blockchain technology leverages smart contracts to provide rewards to sellers of data assets that provide corrections or updates to medical data, such as provider demographics. A URL API is provided to a buyer of the data with an encrypted password that is used to access the data from the URL API.

Abstract: Techniques are disclosed to use a robotic arm to palletize or depalletize diverse items. In various embodiments, data associated with a plurality of items to be stacked on or in a destination location is received. A plan to stack the items on or in the destination location is generated based at least in part on the received data. The plan is implemented at least in part by controlling a robotic arm of the robot to pick up the items and stack them on or in the receptacle according to the plan, including by for each item: using one or more first order sensors to move the item to a first approximation of a destination position for that item at the destination location; and using one or more second order sensors to snug the item into a final position.

Abstract: A method for positioning in a wireless communication system is described. The method comprises receiving, by a second node (102), a capability-request signal from a first node (106). The second node (102) transmits a capability-response signal to the first node (106). The second node (102) transmits an assistance information to the first node (106). The second node (102) transmits the configuration of the at least one reference signal to a third node (104). The second node (102) receives a reference signal from the third node (104). The second node (102) performs measurement on the reference signal and transmits report comprising the measurement to the first node (106), where the first node (106) estimates a position of the third node (104) based on the report received from the second node (102).

Abstract: Systems and techniques for read-write network visualization are described herein. A selected sub-region of a visual representation of a graph network may be displayed based on inputs received from a user. Boundaries for the selected sub-region of the visual representation of the graph network may be calculated. State data may be captured for a portion of the graph network associated with the selected sub-region using the calculated boundaries for the selected sub-region of the visual representation upon activation of an edit mode user interface control. A change to an element of the graph network may be identified. The graph network may be modified based on the change. A formula may be identified that is associated with the element of the graph network. The formula may be automatically recompiled and values for the element of the graph network, and nodes and edges that share a path with the element, may be automatically recalculated using the recompiled formula.

Abstract: A system and method for managing sensor data associated with an Internet-of-Things (IoT) environment is disclosed herein. The method includes receiving, by a processing unit, sensor data from at least one sensing unit in the IoT environment. The sensor data includes at least one sensor reading and a reading timestamp associated with the sensor reading. The method further includes determining whether a conflict exists based on the reading timestamp, wherein the conflict is associated with the sensor data overwriting an existing record in a database. The database is configured for storing the sensor data associated with the at least one sensing unit in time-series format. If the conflict exists, the method further includes merging the sensor data to the record based on an ingestion timestamp associated with the sensor data. Otherwise, a new record is created.

Abstract: The present invention relates to a genetically modified plant which has enhanced resistance to one or more fungal pathogen(s).

Abstract: Described herein are methods of improving the appearance of skin, or at least one sign of skin aging, using Micrococcus luteus compositions. The invention also relates to topical compositions, kits useful in such methods, and to methods of manufacturing topical compositions.