Abstract: A system, method, and computer readable medium is disclosed for accessing an object that is encrypted within at least a tertiary-level encryption key scheme. This includes receiving a request to access blocks making up an object by content management system and using a top-level encryption key from a key management service, a namespace encryption key from a namespace encryption key database, and a respective block encryption keys protecting the blocks making up the object. Furthermore, the system can rely on ephemeral keys to encrypt the namespace encryption keys, so that namespace encryption keys can be stored at the content management system. Using these keys, the system can decrypt the namespace encryption key using the ephemeral key, decrypt the block encryption keys using the namespace encryption key and decrypt the blocks using the block encryption keys, thereby providing access to the object.

Abstract: A computing system receives one or more process parameters to be optimized during a multi-step manufacturing process. The computing system initiates a process prediction model in accordance with the one or more process parameters. The computing system simulates the multi-step manufacturing process using a plurality of sets of different setpoints until the one or more process parameters are optimized. The computing system identifies a first set of setpoints from the plurality of sets of different setpoints that optimized the one or more process parameters. The computing system causes the station controller to apply the first set of setpoints to the one or more stations.

Abstract: A node associated with an organization may receive a storage identifier for new credit data associated with an individual. A distributed ledger and distributed data sources may be used to share the new credit data with a network of nodes. The node may update a smart contract with the storage identifier for the new credit data. The node may receive, from a particular device associated with the organization, a request for the new credit data. The node may obtain the storage identifier for the new credit data from the smart contract. The node may obtain the new credit data by using the storage identifier to search the distributed data sources. The node may provide the new credit data to the particular device. The node may perform actions to obtain additional new credit data from the distributed data sources or provide the additional new credit data to the distributed data sources.

Abstract: The method may comprise: receiving a data payload and first data; predicting, by a trained machine learning model based on the first data, a path through a plurality of microservices associated with the data payload; generating a modified data payload by modifying, via the orchestrator service, the data payload to include: a first header, wherein the first header comprises a first microservice destination address associated with a first microservice of the plurality of microservices and a second header nested within the first header, wherein the second header comprises a second microservice destination address associated with a second microservice of the plurality of microservices; forwarding the modified data payload to the first microservice based on the first header for processing; and forwarding the modified data payload to the second microservice based on the second header for processing.

Abstract: A system, method, and computer readable medium is disclosed for accessing an object that is encrypted within at least a tertiary-level encryption key scheme. This includes receiving a request to access blocks making up an object by content management system and using a top-level encryption key from a key management service, a namespace encryption key from a namespace encryption key database, and a respective block encryption keys protecting the blocks making up the object. Furthermore, the system can rely on ephemeral keys to encrypt the namespace encryption keys, so that namespace encryption keys can be stored at the content management system. Using these keys, the system can decrypt the namespace encryption key using the ephemeral key, decrypt the block encryption keys using the namespace encryption key and decrypt the blocks using the block encryption keys, thereby providing access to the object.

Abstract: A method and control circuit are provided for facilitating a return of a product from a garage. The control circuit includes communication circuitry configured to communicate with a sensor and a processor configured to control the communication circuitry to receive a return request associated with a user account for returning a product, and data from the sensor indicating whether the product is in a designated return zone of the garage. The processor is configured to authorize the return request in response to a determination of the product having been ordered using a user account and a determination that the product is in the designated return zone. The processor is further configured to control the communication circuitry to receive a request for a return agent to retrieve the product from the garage by enabling the return agent to control a garage door operator to access the garage and retrieve the product.

Abstract: In an aspect, first interaction data characterizing a first interaction of a user with a mobile device configured to operate an application client can be received. A plurality of segments of users of the application client can be determined, and each of the plurality of segments can be associated with one or more settings that characterize an operating parameter of the application client. The user can be assigned to a first segment of the determined plurality of segments based on a correspondence between a characteristic of the user and a characteristic associated with the first segment. The application client can be modified based on the one or more settings associated with the first segment. The modified application client can be provided for interaction by the user via the mobile device. Related systems, apparatus, techniques, and articles are also described.

Abstract: A system, method, and computer readable medium is disclosed for accessing an object that is encrypted within at least a tertiary-level encryption key scheme. This includes receiving a request to access blocks making up an object by content management system and using a top-level encryption key from a key management service, a namespace encryption key from a namespace encryption key database, and a respective block encryption keys protecting the blocks making up the object. Using these keys, the system can decrypt the block encryption keys using the namespace encryption key and decrypt the blocks using the block encryption keys, thereby providing access to the object.

Abstract: Implementations set forth herein relate to an automated assistant that can proactively identify and complete tasks that may be associated with an activity with which a user has scheduled the automated assistant to assist with. The tasks can be identified and completed prior to a time that the user has scheduled the automated assistant to assist the user, thereby eliminating certain manual tasks the user may otherwise perform at the scheduled time. When the activity involves communicating with a separate entity, such as another person and/or organization, the automated assistant can initialize communication with the entity prior to the scheduled time that the user requested assistance. A customized GUI can be rendered at an assistant-enabled device to provide the user with an ongoing status of completing various tasks associated with scheduled activity.

Abstract: Implementations can reduce the time required to obtain responses from an automated assistant by, for example, obviating the need to provide an explicit invocation to the automated assistant, such as by saying a hot-word/phrase or performing a specific user input, prior to speaking a command or query. In addition, the automated assistant can optionally receive, understand, and/or respond to the command or query without communicating with a server, thereby further reducing the time in which a response can be provided. Implementations only selectively initiate on-device speech recognition responsive to determining one or more condition(s) are satisfied. Further, in some implementations, on-device NLU, on-device fulfillment, and/or resulting execution occur only responsive to determining, based on recognized text form the on-device speech recognition, that such further processing should occur.

Abstract: In an aspect, first interaction data characterizing a first interaction of a user with a mobile device configured to operate an application client can be received. A plurality of segments of users of the application client can be determined, and each of the plurality of segments can be associated with one or more settings that characterize an operating parameter of the application client. The user can be assigned to a first segment of the determined plurality of segments based on a correspondence between a characteristic of the user and a characteristic associated with the first segment. The application client can be modified based on the one or more settings associated with the first segment. The modified application client can be provided for interaction by the user via the mobile device. Related systems, apparatus, techniques, and articles are also described.

Abstract: A manufacturing system is disclosed herein. The manufacturing system includes a monitoring platform and an analytics platform. The monitoring platform is configured to capture data of an operator during assembly of an article of manufacture. The monitoring platform includes one or more cameras and one or more microphones. The analytics platform is in communication with the monitoring platform. The analytics platform is configured to analyze the data captured by the monitoring platform.

Abstract: Implementations set forth herein relate to an automated assistant that can proactively identify and complete tasks that may be associated with an activity with which a user has scheduled the automated assistant to assist with. The tasks can be identified and completed prior to a time that the user has scheduled the automated assistant to assist the user, thereby eliminating certain manual tasks the user may otherwise perform at the scheduled time. When the activity involves communicating with a separate entity, such as another person and/or organization, the automated assistant can initialize communication with the entity prior to the scheduled time that the user requested assistance. A customized GUI can be rendered at an assistant-enabled device to provide the user with an ongoing status of completing various tasks associated with scheduled activity.

Abstract: Implementations can reduce the time required to obtain responses from an automated assistant by, for example, obviating the need to provide an explicit invocation to the automated assistant, such as by saying a hot-word/phrase or performing a specific user input, prior to speaking a command or query. In addition, the automated assistant can optionally receive, understand, and/or respond to the command or query without communicating with a server, thereby further reducing the time in which a response can be provided. Implementations only selectively initiate on-device speech recognition responsive to determining one or more condition(s) are satisfied. Further, in some implementations, on-device NLU, on-device fulfillment, and/or resulting execution occur only responsive to determining, based on recognized text form the on-device speech recognition, that such further processing should occur.

Abstract: A computing system receives, from an image sensor, at least two images of a specimen positioned on a specimen stage of a microscope system. The computing system provides the at least two images to an autofocus model for detecting at least one distances to a focal plane of the specimen. The computing system identifies, via the autofocus model, the at least one distance to the focal plane of the specimen. Based on the identifying, the computing system automatically adjusts a position of the specimen stage with respect to an objective lens of the microscope system.

Abstract: Disclosed embodiments may include a queue management system. The system may receive one or more utterances comprising a customer intent from a user device, determine a first queue from a plurality of queues in which to place the user based on the user intent, and receive first urgency data comprising battery indication data from the user device. The system may then determine, using a machine learning model, a first dynamic priority score for the user based on the user intent and the first urgency data including battery indication data associated with the user device. Based on the first dynamic priority score for the user, the system may assign an initial user-specific position within the first queue to the user that differs from a default initial position in the first queue. Based on updated urgency data, the system may dynamically update the user's position to a second user-specific position.