A processor may receive a request including a vehicle identifier, a first symptom identifier, and a second symptom identifier. In response to receiving the request, the processor may determine a circuit element identifier to include in a reply to the request. To do so, the processor may make a determination that the received vehicle identifier matches or is mapped to a stored vehicle identifier, that the received first symptom identifier matches or is mapped to a stored first symptom identifier, and that the received second symptom identifier matches or is mapped to a stored second symptom identifier. In response to making the determination, the processor may determine that a particular circuit element identifier is the circuit element identifier to include based on the particular circuit element identifier being mapped to these stored identifiers. Then, the processor may generate and subsequently output the reply including the determined circuit element identifier.

Techniques are described herein for automated assistants that proactively provide content to participant(s) of multi-participant message exchange threads (e.g., group chats, audio and/or video calls in which oral messages are transcribed for analysis, etc.) based on signals such as individual participant profiles associated with participant(s). In various implementations, automated assistant(s) that may not be explicitly invoked may analyze content of a message exchange thread involving multiple human participants and/or document(s) associated with the message exchange thread. Based on the analyzing, the automated assistant(s) may identify topic(s) pertinent to the message exchange thread. Based on individual participant profiles associated with the participants, the automated assistant(s) may identify shared interest(s) of the participants. The automated assistant(s) may then select new content based both on the pertinent topic(s) and the shared interest(s) of the participants and proactively provide the new content to one or more of the participants.

Techniques are described herein for automated assistants that proactively provide content to participant(s) of multi-participant message exchange threads (e.g., group chats, audio and/or video calls in which oral messages are transcribed for analysis, etc.) based on signals such as individual participant profiles associated with participant(s). In various implementations, automated assistant(s) that may not be explicitly invoked may analyze content of a message exchange thread involving multiple human participants and/or document(s) associated with the message exchange thread. Based on the analyzing, the automated assistant(s) may identify topic(s) pertinent to the message exchange thread. Based on individual participant profiles associated with the participants, the automated assistant(s) may identify shared interest(s) of the participants. The automated assistant(s) may then select new content based both on the pertinent topic(s) and the shared interest(s) of the participants and proactively provide the new content to one or more of the participants.

Systems and methods for automatically servicing autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining data associated with one or more reference mechanisms located on an autonomous vehicle. The method includes identifying information associated with the autonomous vehicle based at least in part on the data associated with the one or more reference mechanisms located on the autonomous vehicle. The information associated with the autonomous vehicle includes an orientation of the autonomous vehicle. The method includes determining a vehicle maintenance plan for the autonomous vehicle based at least in part on the information associated with the autonomous vehicle. The method includes providing one or more control signals to implement the vehicle maintenance plan for the autonomous vehicle based at least in part on the orientation of the autonomous vehicle.

Provided is a damage information processing device, a damage information processing method, and a program that offer ease with which a user can recognize a point that has a chronologically unnatural difference. A damage information processing device (10) includes a processor (20) and is configured to process information about damage to a structure. The processor (20) is configured to acquire information about damage to a structure. The information includes first damage information about a state at one point in time and second damage information about a state at a later point in time than the first damage information. The processor (20) is configured to extract difference information concerning the difference between the first damage information and the second damage information. The processor (20) is configured to detect, by searching through the difference information, a first category point where only the first damage information is involved or where the first damage information is greater than the second damage information. The processor (20) is configured to output, to a display device, an alert indication in connection with at least one of the first damage information or the second damage information to give an indication of the first category point.

Various embodiments, methods and systems for implementing a distributed computing system scene assembly engine are provided. Initially, a selection of a first synthetic data asset and a selection of a second synthetic data asset are received from a distributed synthetic data as a service (SDaaS) integrated development environment (IDE). A synthetic data asset is associated with asset-variation parameters and scene-variation parameters, the asset-variation parameters and scene-variation parameters are programmable for machine-learning. Values for generating a synthetic data scene are received. The values correspond to asset-variation parameters or scene-variation parameters. Based on the values, the synthetic data scene is generated using the first synthetic data asset and the second synthetic data asset.

Techniques are described herein that are capable of generating a mitigation workflow for a computing service using historical mitigation workflows. A determination is made that a historical technical issue that was encountered by a first computing service corresponds to a current technical issue that is encountered by a second computing service. A workflow, which is configured to mitigate the current technical issue, is generated to include historical mitigation operations that are included in historical mitigation workflows that were performed to mitigate the historical technical issue based at least in part on the historical technical issue corresponding to the current technical issue.

Systems, methods, and computer-readable media are provided for collaboration in a group-based communication system via a third-party integration. A new collaboration instance controller is initialized which allows the third-party integration to request and receive group-based communication system objects from the group-based communication system.

A method and apparatus for aiding a police officer in writing a report by creating a depiction of an incident scene is provided herein. During operation a drone will photograph an incident scene from above. Relevant objects will be identified and a depiction of the incident scene will be created by overlaying the relevant photographed real world objects onto a map retrieved from storage. The depiction of the incident scene will be made available to police officers to increase the officers' efficiency in report writing. More particularly, officers will no longer need to re-create the depiction of the incident scene by hand. Instead, the officer will be able to use the depiction of the incident scene.

A method of inventory data aggregation and delivery over a distributed network comprises generating inventory data with respect to plural disparate sources, and publishing that data over a distributed network to an event processor. The method further includes receiving the published inventory data through subscription to the event processor and distributing it to a plurality of requesting devices, e.g., client devices, over the distributed network. This can include aggregating and filtering by locale or product-type the inventory data in response to requests received from those devices. This can further include reducing the aggregated, filtered data to accommodate inventory reserves, e.g., of retail outlets.