Abstract: Methods, apparatuses, and computer-readable mediums for wireless communication by a user equipment (UE) includes transmitting a packet on a first resource, determining one or more repetition resources on which to send one or more redundancy versions of the packet, wherein the one or more repetition resources are at a time subsequent to the first resource, transmitting repetition resource information identifying the one or more repetition resources to one or more neighboring UEs, and transmitting the one or more redundancy versions of the packet on respective ones of the one or more repetition resources.

Abstract: A computing device performs an automated analysis of a data source and generates one or more first natural language outputs in accordance with the automated analysis. The device displays the first natural language outputs in a graphical user interface and receives user selection of a natural language output of the first natural language outputs. In response to receiving the user selection, the device generates a first data visualization according to the automated analysis, one or more data fields of the data source specified in the natural language output, and/or analytical operations specified in the natural language output. The device displays the first data visualization in the graphical user interface. The device generates one or more second natural language outputs and displays the second natural language outputs in the graphical user interface.

Abstract: A system for context-aware decision making of an autonomous agent includes a computing system having a context selector and a map. A method for context-aware decision making of an autonomous agent includes receiving a set of inputs, determining a context associated with an autonomous agent based on the set of inputs, and optionally any or all of: labeling a map; selecting a learning module (context-specific learning module) based on the context; defining an action space based on the learning module; selecting an action from the action space; planning a trajectory based on the action S260; and/or any other suitable processes.

Abstract: A frequency selective coupler configured as a harmonic rejection filter includes an electromagnetic element configured to electromagnetically couple to a signal path between an output of a power amplifier and an antenna, an impedance network coupled between an isolated port of the coupler and ground, the impedance network configured to provide a harmonic filter response, and an electrically unconnected coupled port connected to the electromagnetic element.

Abstract: Described herein are compounds and methods for the treatment of coronavirus infection. The compounds can function as an inhibitor of the main protease (Mpro) of coronaviruses. The compounds can include diphenylmethyl piperazine derivatives, diphenylmethyl piperidine derivatives, diphenylmethylidene piperidine derivatives, tricyclo[9.4.0.03,8]pentadeca-1(11),3(8),4,6,12,14-hexaen derivatives, tricyclo[9.4.0.03,8]pentadeca-1(11),3(8),4,6,9,12,14-heptaen derivatives, 6,11-dihydrobenzo[c][1]benzoxepin derivatives, 6,11-dihydrobenzo[c][1]benzothiepin derivatives, 5,5-dioxo-6,11-dihydrobenzo[c][1]benzothiepin derivatives, and 6-oxo-5,11-dihydrobenzo[c][1]benzazepin derivatives, as well as pharmaceutically acceptable salts, hydrates, and prodrugs thereof.

Abstract: According to at least one aspect, a system for analyzing computer usage data of a user to identify an underlying task being performed by the user is provided. The system includes a hardware processor and a non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the hardware processor, cause the hardware processor to perform: receiving a plurality of events each indicative of an action performed by a user and contextual information associated with the action performed by the user, clustering the plurality of events to generate a plurality of clustered events, identifying a plurality of sub-tasks in the plurality of clustered events that each comprise a sequence of clustered events, identifying a task in the plurality of clustered events being performed by the user that comprises at least one sub-task, and generating a score for the task indicative of a difficulty of automating the task.

Abstract: A method for controlling an ego vehicle in an environment includes associating, by a velocity model, one or more objects within the environment with a respective velocity instance label. The method also includes selectively, by a recurrent network of the taillight recognition system, focusing on a selected region of the sequence of images according to a spatial attention model for a vehicle taillight recognition task. The method further includes concatenating the selected region with the respective velocity instance label of each object of the one or more objects within the environment to generate a concatenated region label. The method still further planning a trajectory of the ego vehicle based on inferring, at a classifier of the taillight recognition system, an intent of each object of the one or more objects according to a respective taillight state of each object, as determined based on the concatenated region label.

Abstract: A computing system configured to perform artificial intelligence-powered search and evaluation functionalities is disclosed. The computer system can receive a natural language search input entered through a user interface, request a search engine to perform a search based on the natural language search input, receive search results returned by the search engine, and submit, in runtime, structured data contained in the search results to a large language model. The structured data includes a table including one or more records and a plurality of fields. The computing system can prompt, in runtime, the large language model to generate scores for the one or more records and present the structured data and the scores on the user interface.

Abstract: A system and method for monitoring and optimizing work assistant search engines implemented within secured enterprise computing systems include one or more processing devices to receive diagnostic data of a work assistant search engine from a secured enterprise computing system. The one or more processing devices may further determine, by analyzing the diagnostic data, a search quality metric value associated with the feature values and the scores. Responsive to determining that the search quality metric value differs from a target search quality metric value by a predetermined threshold value, the one or more processing devices may further determine an updated score model, and provide the updated score model to the secured enterprise computing system to update the work assistant search engine.

Abstract: A method of controlling a plurality of Internet of Things (IoT) devices included in an IoT ecosystem is provided. A change of a value of a resource of an IoT device from among the plurality of IoT devices is detected, an intent associated with the resource of which the value is changed is identified, a resource associated with the identified intent from among resources of the plurality of IoT devices is determined, and a value of the determined resource is controlled based on a context corresponding to the identified intent.

Abstract: A reconfigurable data processor includes a bus system, an array of configurable units, and a configuration load controller connected to the bus system and coupled to a memory. The configuration load controller incorporates a first set of registers accessible from a host processor for storing addresses of a first configuration file, a second set of registers loaded by loading a configuration file for storing addresses of a second configuration file, and an address generation unit with working address registers. The processor is configured to load a first configuration file from the memory and initiate execution based on a request from runtime software. Additional configuration files are automatically loaded upon completion of a previous configuration file based on information stored in the previous configuration file.

Abstract: A method for predicting the performance of a software program. The method includes: profiling the software program in a bytecode representation thereof, wherein the profiling is performed during the execution of the software program, in order to provide an execution property of the software program; profiling a runtime on a target device, wherein the profiling is performed while executing at least one test program on the runtime of the target device, in order to provide a runtime property of the target device; predicting the performance of an execution of the software program on the target device based on the execution property of the software program and the runtime property of the target device. A computer program, an apparatus, and a storage medium are also described.

Abstract: Synthetic endornaviral satellite RNA molecules and satellite particles containing the same are disclosed. The synthetic endornaviral satellite RNA molecules can include coding and/or non-coding cargo sequences, and are heritable through generations of plants. Also disclosed are methods of using the endornaviral satellite RNA molecules and satellite particles containing the same to change plant phenotypes, improve plant stress resistance, and improve plant pest and pathogen resistance.

Abstract: A foetal monitoring device for simultaneously monitoring a concentration of an analyte in a foetus and a heart rate of the foetus, the device comprising a biosensor and an electrocardiogram (ECG).

Abstract: Described herein are compounds, and methods for the treatment of coronavirus infection.

Abstract: Embodiments are directed to intent driven dashboard recommendations. A plurality of collection specifications that declare visualization declarations may be provided such that each collection specification is associated with an author intent. And attributes-of-interest selected from a data source may be provided. A plurality of collections may be generated based on the plurality of collection specifications, the attributes-of-interest, or data from the data source such that each collection may include visualizations that may be based on the visualization declarations. A preference score may be generated for each collection based on the author intent, visualizations in each collection, or the attributes-of-interest. The plurality of collections may be classified based on the preference scores associated with the classified collections such that the classified collections may be displayed based on the preference scores.

Abstract: Aspects of systems and methods for collaborating physical-virtual interfaces are disclosed. In an example, a method may include transmitting digital content to display in a virtual environment that includes one or more human inhabited characters, the digital content corresponding to content displayed on one or more interactive devices. The method may also include receiving first input data representing content markup of the digital content from a first user of the first interactive device. The method may also include determining an action state or an appearance state for a human inhabited character in response to the first data. The method may also include transmitting the first input data to display in the virtual environment and transmitting the human inhabited character to display in the virtual environment according to the action state or the appearance state.

Abstract: Techniques for ontology linking of unstructured text as a service are described. A service may receive a request to link unstructured text to a standardized ontology, and the service may segment and tokenize the unstructured text and send the result to multiple services implementing multiple deep machine learning models trained to identify particular entities and one or more relationships between entities. The service may perform a search of the standardized ontology to identify a set of similar candidates from the standardized ontology for the detected entities and the one or more relationships, and then rank the set of similar candidates from the standardized ontology according to their similarity to the detected entities within the unstructured text. The output from the service may include a result identifying a highest ranked candidate of the set of similar candidates from the standardized ontology for the detected entities within the unstructured text.

Abstract: A system is presented that includes two data processing systems that are coupled via a network, each data processing system including a reconfigurable processor with a reconfigurable processor memory, a host that is coupled to the reconfigurable processor and that includes a host processor and a host memory that is coupled to the host processor, and a network interface controller (NIC) that is operatively coupled to the reconfigurable processor and to the host processor. The reconfigurable processor of one of the data processing systems is configured to implement a virtual function that uses a virtual address for a memory access operation. An application programming interface (API) in the host processor translates the virtual address into a physical address, and the NIC uses the physical address to initiate a direct memory access operation at the reconfigurable processor memory or the host memory of the other data processing system.

Abstract: Techniques are disclosed pertaining to determining whether execution of a transaction will exceed a system resource threshold. A computer system stores a precomputed permissions data structure in association with particular data stored in a database. That precomputed data structure may be used to determine whether a user can access the particular data. The computer system may capture metric information that pertains to parameters involved in different types of transactions that can be performed to recompute the precomputed permissions data structure. Upon receiving a request to perform a transaction that involves recomputing the permissions data structure, the computer system, may determine, based on the metric information and the transaction's particular type, whether an execution of the transaction will exceed the system resource threshold.