Abstract: A prediction model may be created to predict future actions likely to be performed by users while interacting with electronic content via user devices. The predictions may be used to streamline access to interface controls or other information to enable the users to facilitate or expedite performance of the predicted actions, while reducing computational demands on computing devices that provide the electronic content by, for example, reducing unnecessary intervening computing actions.

Abstract: Techniques for managing notifications may be described. In an example, the notifications may relate to an item and may be provided to a user device. An active device may be associated with the item. The active device may store a token for communication with a local area network associated with a location. Based on the communication, a determination may be made that the item may be in proximity to the location. Corresponding notifications may be sent to the user device.

Abstract: Diagnostics may be performed on imaging devices such as digital cameras that are provided in large numbers, or mounted in arrays or networks, by providing imaging data captured from such devices to a machine learning system or classifier that has been trained to recognize anomalies based on imaging data. The machine learning system or classifier may be trained using a training set of imaging data previously captured by one or more imaging devices that has been labeled with regard to whether such imaging devices encountered any anomalies when the imaging data was captured, and if so, which anomalies were encountered. Additionally, a perceptual score which represents the quality of a given image or imaging data may be calculated and used to rank or define the image or imaging data in terms of quality, or determine whether the image or imaging data is suitable for its intended purpose.

Abstract: An intermediary device may be configured to allow an authorized visitor to access a secure facility (such as a home) on behalf of an owner. The intermediary device may generate an authenticator and provide the authenticator to a service provider, who may then present the authenticator to the intermediary device upon arriving at the facility. The intermediary device may unlock or open, or lock and close, any doors within the facility as necessary in order to grant access to a specific portion of the facility and restrict access to other portions of the facility. The intermediary device may also capture, or cause the capture of, images or other data regarding actions taken by the service provider, and establish a communications channel with the owner for the exchange of information or data regarding such actions, or any events or conditions of the facility.

Abstract: Autonomous vehicles may be deployed to areas where an item is in demand, and configured to fulfill orders for the item received from the areas. The autonomous vehicles are loaded with the item and dispatched to the area under their own power or in a carrier. When an order for the item is received, an autonomous vehicle delivers the item to a location in the area. Autonomous vehicles may also be equipped with a 3D printer or other equipment and loaded with materials for manufacturing the item. When an order for the item is received, the autonomous vehicle manufactures the item from such materials, and delivers the item. Autonomous vehicles may be configured for collaboration, such as to deliver or manufacture items in multiple stages and to transfer the items between vehicles. Autonomous vehicles may also be configured to automatically access locations in the area, e.g., using wireless access codes.

Abstract: Items, such as produce items, may be placed in containers, imaged, weighed, and stored for subsequent retrieval. Images that depict the items and attributes associated with the items may be presented to customers via an interface. Upon receiving an indication that a customer has purchased one or more items via the interface, a container that includes the one or more items is retrieved. The one or more items are removed from the container and packaged for delivery to the customer. The resulting empty container is refilled with new items, which are then imaged, weighed, and stored.

Abstract: Systems and methods are described for attributing credit to individual channels for messages delivered via multi-channel communications. A message may be delivered to a recipient via multiple delivery channels, and the recipient may engage in a conversion event or activity associated with receipt of the message. Each delivery of the message may partially contribute to causing the conversion event, and the incremental contribution of each delivery may be determined. A probability of conversion may be determined based on past message deliveries involving the same or similar messages, recipients, and channels. An impressions path may be generated based on the past message deliveries, and subpaths of the impressions path may be used to isolate the contribution of individual message impressions.

Abstract: Systems and methods are provided for facilitating automated video scripting, Video frames may be analyzed to determine scores indicative of the association between a characteristic of the video frame and an attribute of a theme associated with a particular person. Then, video frames with particular scores can be added together to automatically create a video script. Neural networks can be used to determine the scores. The neural network may also be trained using training data, and updated based on the interaction of a person to a video script.

Abstract: A customer who visits an online marketplace to view information regarding an item formed from fabric may request and receive instructions for producing a sample of the fabric that mimics the sensations of touch and feel of the fabric. The sample may be produced using an automated fabricator, such as a 3D printer, associated with a client device from which the customer made the request. The instructions may include or describe a digital model of the fabric, customized for the automated fabricator. In particular, the sample may be formed from various plastics or other materials that are accessible to the automated fabricator, and need not be formed from the actual materials that are included in the fabric.

Abstract: A reflected light identification (RLID) system uses light to communicate stored information across long distances with minimal interference. The RLID system may include a light source that directs an incident light signal to an RLID structure, which then transmits an encoded light signal to a sensor. The RLID system may include a passive RLID structure (i.e., a structure that does not include power source) such as an RLID reflection surface that includes layered reflective films that reflect the incident light signal back in multiple reflections that serially encodes data. The RLID system may also include an active RLID structure (i.e., a structure that includes power source) that uses energy harvesting to extract and accumulate power from an incident light signal, and then uses the harvested energy to transmit a return signal.

Abstract: Systems, methods, and computer-readable media are disclosed for generating live broadcasts of product usage from multiple users. In one embodiment, an example method may include determining a product identifier of a product for which a product lifecycle video is to be generated, determining a first camera to use for capturing a first portion of a video of the product, where the first portion corresponds to a first lifecycle stage of the product, and capturing the first portion. Example methods may include determining a second camera to use for capturing a second portion of video of the product, where the second portion corresponds to a second lifecycle stage of the product, capturing the second portion, and causing presentation of the video.

Abstract: Disclosed are various embodiments for coordination of autonomous vehicles in a roadway. A roadway management system can generate lane configurations for a roadway or a portion of the roadway. The roadway management system can determine the direction of travel for lanes in a roadway and direct autonomous automobiles to enter the roadway in a particular lane.

Abstract: Systems and methods are described for selecting recipients, channels, and messages for delivery via multi-channel communications. A message may be delivered to a recipient via multiple delivery channels, and the recipient may engage in a conversion event or activity associated with the message. Each potential delivery of the message may be associated with an incremental probability of causing the conversion event. The incremental probabilities may be used to determine the channel and recipient with the highest incremental probability of causing a conversion event for a given message, the recipient and message having the highest incremental probability of causing a conversion event when delivered via a given channel, and other combinations. Profiles may be used to compare messages, channels, and recipients in order to predict incremental probabilities, and messaging resources may be allocated according to budgets, cost-benefit analyses, or other criteria.

Abstract: Directed fragmentation of an unmanned aerial vehicle (UAV) is described. In one embodiment, the UAV includes various components, such one or more motors, batteries, sensors, a housing, casing or shell, and a payload for delivery. Additionally, the UAV includes a controller. The controller determines a flight path and controls a flight operation of the UAV. During the flight operation, the controller develops a release timing and a release location for one or more of the components based on the flight path, the flight conditions, and terrain topology information, among other factors. The controller can also detect a disruption in the flight operation of the UAV and, in response, direct fragmentation of one or more of the components apart from the UAV. In that way, a controlled, directed fragmentation of the UAV can be accomplished upon any disruption to the flight operation of the UAV.

Abstract: Systems may include a storage location and a bladder. The storage location may have a volume. The bladder may be selectively inflatable and deflatable to change an amount of the volume of the storage location that is occupied by the bladder. Fluid communication between the bladder and an inflation network may change an amount of pressurized fluid present in the bladder so as to change the amount of the volume of the storage location occupied by the bladder. For example, this may cause the bladder to press against an item in the storage location, such as to secure the item or to facilitate a determination of an amount of space that is occupied in the storage location and/or an amount of space that is available for receipt of additional items.

Abstract: Advertisements may be selected for video programming based on the visual content of the video programming. Where a video stream depicts a consumer good or service in one or more video frames, an advertisement that is consistent with the consumer good or service may be inserted into the video stream following the video frames in which the consumer good or service appears. Such an advertisement may be one of a plurality of existing advertisements, or may be prepared in a native format based on the content of the video stream, and may be seamlessly integrated into the video stream with the same or a similar setting to the video stream. A viewer of a video stream may also request one or more advertisements based on the content of the video stream.

Abstract: Autonomous vehicles may be deployed to areas where an item is in demand, and configured to fulfill orders for the item received from the areas. The autonomous vehicles are loaded with the item and dispatched to the area under their own power or in a carrier. When an order for the item is received, an autonomous vehicle delivers the item to a location in the area. Autonomous vehicles may also be equipped with a 3D printer or other equipment and loaded with materials for manufacturing the item. When an order for the item is received, the autonomous vehicle manufactures the item from such materials, and delivers the item. Autonomous vehicles may be configured for collaboration, such as to deliver or manufacture items in multiple stages and to transfer the items between vehicles. Autonomous vehicles may also be configured to automatically access locations in the area, e.g., using wireless access codes.

Abstract: Autonomous vehicles may be deployed to areas where an item is in demand, and configured to fulfill orders for the item received from the areas. The autonomous vehicles are loaded with the item and dispatched to the area under their own power or in a carrier. When an order for the item is received, an autonomous vehicle delivers the item to a location in the area. Autonomous vehicles may also be equipped with a 3D printer or other equipment and loaded with materials for manufacturing the item. When an order for the item is received, the autonomous vehicle manufactures the item from such materials, and delivers the item. Autonomous vehicles may be configured for collaboration, such as to deliver or manufacture items in multiple stages and to transfer the items between vehicles. Autonomous vehicles may also be configured to automatically access locations in the area, e.g., using wireless access codes.

Abstract: Autonomous vehicles may be deployed to areas where an item is in demand, and configured to fulfill orders for the item received from the areas. The autonomous vehicles are loaded with the item and dispatched to the area under their own power or in a carrier. When an order for the item is received, an autonomous vehicle delivers the item to a location in the area. Autonomous vehicles may also be equipped with a 3D printer or other equipment and loaded with materials for manufacturing the item. When an order for the item is received, the autonomous vehicle manufactures the item from such materials, and delivers the item. Autonomous vehicles may be configured for collaboration, such as to deliver or manufacture items in multiple stages and to transfer the items between vehicles. Autonomous vehicles may also be configured to automatically access locations in the area, e.g., using wireless access codes.

Abstract: Three-dimensional models of objects may be generated according to adaptive depth sensing techniques. An imaging device may include a projector that is configured to project light (e.g., infrared light) onto selected portions of a scene, and a depth imaging sensor configured to capture reflections of the projected light. The projector may be used to project points of light onto aspects of a scene having high degrees of variation of depth, color, texture, curvature or other attributes, where an increased number of depth values may be required to accurately depict a profile of an object within a scene, and to avoid projecting light onto aspects of the scene having low degrees of variation of depth, color, texture, curvature or such other attributes, where the profile of the object may be accurately represented by comparatively fewer depth values.