Abstract: In some implementations, the techniques described herein relate to a method including: (i) identifying, by a processor, an electronic message that comprises content generated by a user, (ii) predicting, by the processor, a potential action for the user by inputting the content of the electronic message into a large language model, (iii) suggesting, by the processor, the potential action to the user, (iv) receiving, by the processor, user input related to the potential action, and (v) performing, by the processor, on behalf of the user, a subsequent action conforming to the user input.

Abstract: Described herein photonic interconnects based on glass interposers. Glass interposers of the types described herein are used to photonically interconnect multiple smaller photonic integrated circuits (PIC), as opposed to using a single, larger PIC. The typical yield of a glass interposer is significantly higher than the yield of a PIC. This is because glass interposers are passive in nature, while PICs include active photonic elements. Active photonic components (e.g., photonic transceivers and switches) tend to be more susceptible to manufacturing defects than passive photonic components (e.g., waveguides and couplers) because active components require additional manufacturing steps (e.g., ion implantation, sputtering, epitaxial growth, etc.). The approach described herein improves performance because instead of having to slice a large number of continuous reticles from a wafer, one can pick and choose reticles known to have yielded.

Abstract: Methods, systems, and devices for certification of device calibrations are described. Calibration information may be stored in a memory system having a cryptographic engine and included in the vehicle. An authentication platform may securely receive requests from a remote compliance device information associated with calibration for a vehicle that must be certified. The authentication platform may verify the identity of the compliance device and securely communicate a test authorization request to the vehicle. Compliance information pertaining to results of performing a compliance test for the vehicle may be subsequently communicated to the authentication platform.

Abstract: In some implementations, the techniques described herein relate to a method including: (i) accessing, by a processor, a plurality of messages for a user, (ii) analyzing, by a large language model executed by the processor, the plurality of messages to extract a context of each message, (iii) determining, by the processor, a current context of interest to the user, (iv) identifying, by the processor, a subset of the plurality of messages that each comprises a context related to the current context of interest to the user, and (v) causing display, by the processor, of the subset of the plurality of messages in a digital message inbox.

Abstract: In some implementations, the techniques described herein relate to a method including: (i) identifying, by a processor, a plurality of electronic messages addressed to a user, (ii) analyzing, by a large language model executed by the processor, the plurality of electronic messages to identify potential actions, (iii) suggesting, by the processor, to the user, a potential action identified by the large language model, (iv) receiving, by the processor, user input related to the potential action, and (v) performing, by the processor, on behalf of the user, a subsequent action conforming to the user input.

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: The example embodiments are directed toward leveraging the power of large language models (LLMs) in a messaging application. In a first embodiment, LLMs are utilized to generate message content (both original and reply). In a second embodiment, LLMs are utilized to provide enhanced semantic search functionality. In a third embodiment, LLMs are utilized to provide intelligent actions to take based on message content.

Abstract: Disclosed embodiments are directed toward a computer-implemented system and method for providing an email digest in association with an interface display of an electronic inbox. The disclosed digest includes non-native inbox functionality related to a summary data structure that includes an interactive portion, whereby upon generation of electronic prompts via a large language model (LLM), the digest can leverage functionality of the LLM to determine how electronic inbox content can be rendered for display.

Abstract: Disclosed are systems and methods for receiving a meeting request via an electronic account of a user; determining a conflict between the meeting request and a pre-existing meeting, extracting and comparing information associated with each meeting based on an analysis of each meeting; determining a priority associated with each meeting based on the analysis of the information of each meeting; and utilizing a machine learning model to generate an output associated with the priority of each meeting to the electronic account of the user.

Abstract: Systems and methods are disclosed for determining a visual indicator for a package based on a delivery address for the package and a location of the delivery address along a delivery route. An optimized delivery route may be created for packages to be delivered at a given time. At the fulfillment center, a delivery system may label a package prior to loading the package on a delivery vehicle. The delivery system may determine the appropriate visual indicator (e.g., color and/or pattern) or the visual indicator may be randomly selected. The delivery system may generate a label having the visual indicator. The package may be deposited into a certain bin with other packages having a delivery address in close proximity. The delivery system may generate a user interface on a user device that indicates that the package has a certain visual indicator to facilitate sorting and identification of the package.

Abstract: Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior. Following distance over time is determined, and simplified following distance data is generated for use at a management device.

Abstract: Network video recorders (NVRs) can be configured to receive video data from operation in a location, train an artificial neural network (ANN) surveillance model with the video data, and provide updates to the ANN surveillance model to a server. The server can be configured to aggregate the updates into a federated ANN surveillance model. The server can deploy the federated ANN surveillance model to the NVRs. The server can train, via transfer learning based on the federated ANN surveillance model, a different ANN surveillance model for a different NVR in a different location. The server can deploy the different ANN surveillance model to the different NVR.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that determine a dynamic password update notification interval based on a breach risk classification and an automatic password update mechanism of an online service with which a user has an account. The disclosed methods, apparatus, systems, and articles of manufacture generate a password update suggestion and/or an automatic password update for the user at the dynamic password update notification interval determined by the processor circuitry.

Abstract: A technique including capturing, by one or more cameras of a set of cameras disposed about a vehicle, one or more images, wherein a surround view system of the vehicle is configured to render a surround view image using a first hardware accelerator based on the one or more images, determining that a first hardware accelerator is unavailable, and rendering the surround view image using a second hardware accelerator based on the captured one or more images.

Abstract: A method includes a validation computer receiving an authorization request message comprising a user state and a user proof from a user device. The user state comprises first and second user state elements. The user proof comprises first, second, and third user proof elements. The validation computer computes a first verification value by multiplying the first user proof element raised to the power of the second user state element, and the second user proof element raised to the power of the first user state element. The computer computes a second verification value by raising the second user proof element to the power of the second user state element. The computer compares the first verification value to a first accumulated state element of an accumulated state. The compares the second verification value to a second accumulated state element. The validation computer authorizes the authorization request message based on the comparison steps.

Abstract: It is recognized herein that current approaches to autonomous operations are often limited to grasping and manipulation operations that can be performed in a single step. It is further recognized herein that there are various operations in robotics (e.g., assembly tasks) that require multiple steps or a sequence of motions to be performed. To determine or plan a sequence of motions for fulfilling a task, an autonomous system that includes a robot can perform object recognition, pose estimation, affordance analysis, decision-making, probabilistic task or motion planning, and object manipulation.

Abstract: An onboarding request is received from a user to utilize a recommendation service. The onboarding request contains personal data (including an onboarding user identifier and a serial number requesting a stated number of credits), encrypted with a commuting function C, along with clear text account details. A blind trust is established with the user, and the recommendation service signs the onboarding request with a signing function S and sends the signed onboarding request to the user to perform a blind onboarding of the user. A consumption request is then received (e.g., a call to get recommendations) from the user including a consumption user identifier and an approved credits document. The recommendation service can then update a user-item matrix that maps user identifiers with available items and transmit an item recommendation to the user, based on the user-item matrix, and expire the approved credits document by a consumption amount.

Abstract: Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior. Following distance over time is determined, and simplified following distance data is generated for use at a management device.

Abstract: A transmission system for an electric vehicle. The system includes a gearbox containing gears and a lubricating fluid. A pump is provided for supplying and removing lubricating fluid from the gear box. The operation of the pump is controlled by a controller. A reservoir is provided for storing lubricating fluid. The controller is configured to control the pump so that a portion of the lubricating fluid is removed from the gear box when the vehicle is involved in a high acceleration event.

Abstract: Systems and methods include performing inline monitoring of production traffic between users, the Internet, and cloud services via a cloud-based system; utilizing a trained machine learning model to inspect static properties of files in the production traffic; and classifying the traffic as one of malicious or benign based on the trained machine learning model.