Abstract: Systems and methods for image searching are described. The systems and methods include receiving a search query comprising user input for a reference image; converting the user input for the reference image to a preference statement using a machine learning model; encoding the preference statement in an embedding space to obtain an encoded preference statement; combining the encoded preference statement with an encoded reference image representing the reference image in the embedding space to obtain a multi-modal search encoding; and performing a search operation using the multi-modal search encoding to retrieve a second image, wherein the second image differs from the reference image based on the user input for the reference image.

Abstract: Disclosed in some examples, are devices, methods, systems, and machine readable mediums that provide for automated goods exchange between autonomous vehicles while the autonomous vehicles are still in motion. This may be used to efficiently ship packages long distances as well as to transfer goods to consumers. This allows shippers to transfer goods from one truck to another without having to stop and unload the truck, decreasing costs by limiting human involvement and improving efficiency. Likewise, mobile merchants, such as food trucks, may sell to consumers in cars without having to stop to perform the exchange, increasing the convenience to consumers.

Abstract: Systems and methods for machine learning based multipage scanning are provided. In one embodiment, one or more processing devices perform operations that include receiving a video stream that includes image frames that capture a plurality of pages of a document. The operations further include detection, via a machine learning model that is trained to infer events from the video stream detects, a new page event. Detection of the new page event indicates that a page of the plurality of pages available for scanning has changed from a first page to a second page. Based on the detection of the new page event, the one or more processing devices capture an image frame of the page from the video stream. In some embodiments, the machine learning model detects events based on a weighted use of video data, inertial data, audio samples, image depth information, image statistics and/or other information.

Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

Abstract: In implementations of systems for generating indications of traversable paths, a computing device implements a navigation system to receive map data describing a map of a physical environment that includes a destination, locations of display devices and relative orientations of the display devices in the physical environment. The navigation system forms a navigation graph by representing the destination and the locations of the display devices as nodes of the navigation graph and connecting the nodes with edges that indicate traversable path segments in the physical environment. Request data is received describing a request for navigation to the destination and a source of the request. The navigation system generates indications of a traversable path to the destination for display by the display devices based on the navigation graph and the relative orientations of the display devices.

Abstract: Dynamically adaptable health experience based on data triggers is leveraged in a digital medium environment. For instance, a health manager system utilizes user-specific data such as health history data to generate audio content, interaction content, and exercise content for a health experience. Further, the health manager system monitors user state during a health experience and modifies the health experience in response to detecting various user states. A health entity interface is provided that enables various health entities to provide guidance for generating and modifying a health experience.

Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

Abstract: In implementations of systems for generating indications of traversable paths, a computing device implements a navigation system to receive map data describing a map of a physical environment that includes a destination, locations of display devices and relative orientations of the display devices in the physical environment. The navigation system forms a navigation graph by representing the destination and the locations of the display devices as nodes of the navigation graph and connecting the nodes with edges that indicate traversable path segments in the physical environment. Request data is received describing a request for navigation to the destination and a source of the request. The navigation system generates indications of a traversable path to the destination for display by the display devices based on the navigation graph and the relative orientations of the display devices.

Abstract: Disclosed in some examples, are devices, methods, systems, and machine readable mediums that provide for automated goods exchange between autonomous vehicles while the autonomous vehicles are still in motion. This may be used to efficiently ship packages long distances as well as to transfer goods to consumers. This allows shippers to transfer goods from one truck to another without having to stop and unload the truck, decreasing costs by limiting human involvement and improving efficiency. Likewise, mobile merchants, such as food trucks, may sell to consumers in cars without having to stop to perform the exchange, increasing the convenience to consumers.

Abstract: Disclosed in some examples, are devices, methods, systems, and machine readable mediums that provide for automated goods exchange between autonomous vehicles while the autonomous vehicles are still in motion. This may be used to efficiently ship packages long distances as well as to transfer goods to consumers. This allows shippers to transfer goods from one truck to another without having to stop and unload the truck, decreasing costs by limiting human involvement and improving efficiency. Likewise, mobile merchants, such as food trucks, may sell to consumers in cars without having to stop to perform the exchange, increasing the convenience to consumers.

Abstract: Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.

Abstract: Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.

Abstract: Disclosed in some examples, are devices, methods, systems, and machine readable mediums that provide for automated goods exchange between autonomous vehicles while the autonomous vehicles are still in motion. This may be used to efficiently ship packages long distances as well as to transfer goods to consumers. This allows shippers to transfer goods from one truck to another without having to stop and unload the truck, decreasing costs by limiting human involvement and improving efficiency. Likewise, mobile merchants, such as food trucks, may sell to consumers in cars without having to stop to perform the exchange, increasing the convenience to consumers.

Abstract: In some embodiments, the disclosed subject matter involves identifying environmental factors and user context that affect sleep quality. Embodiments use information about the static sleep environment, as well as dynamic environmental factors, such as sound, light, movement, correlated with user context, such as physical and emotional state, as well, as recent behavior to classify sleep data. The correlated and classified sleep data may be used to provide change recommendations, where implementing the recommended change is believed to improve the user's sleep quality. Other embodiments are described and claimed.

Abstract: Disclosed in some examples, are devices, methods, systems, and machine readable mediums that provide for automated goods exchange between autonomous vehicles while the autonomous vehicles are still in motion. This may be used to efficiently ship packages long distances as well as to transfer goods to consumers. This allows shippers to transfer goods from one truck to another without having to stop and unload the truck, decreasing costs by limiting human involvement and improving efficiency. Likewise, mobile merchants, such as food trucks, may sell to consumers in cars without having to stop to perform the exchange, increasing the convenience to consumers.

Abstract: Disclosed in some examples, are devices, methods, systems, and machine readable mediums that provide for automated goods exchange between autonomous vehicles while the autonomous vehicles are still in motion. This may be used to efficiently ship packages long distances as well as to transfer goods to consumers. This allows shippers to transfer goods from one truck to another without having to stop and unload the truck, decreasing costs by limiting human involvement and improving efficiency. Likewise, mobile merchants, such as food trucks, may sell to consumers in cars without having to stop to perform the exchange, increasing the convenience to consumers.

Abstract: Computer systems to allow users to record sensor readings of their environment and correlate these sensor readings with mental health events for later analysis to improve mental health diagnoses and treatments. A monitoring system comprising a computing device and a sensor set (comprising one or more sensors integral to or communicatively coupled to the computing device) may collect and store data collected about the user. This data may be stored in the computing device, or may be stored in a cloud based data-storage service. This data may be annotated or correlated (either manually, or automatically) with mental health events of the user and used for later analysis.

Abstract: In some embodiments, the disclosed subject matter involves identifying environmental factors and user context that affect sleep quality. Embodiments use information about the static sleep environment, as well as dynamic environmental factors, such as sound, light, movement, correlated with user context, such as physical and emotional state, as well, as recent behavior to classify sleep data. The correlated and classified sleep data may be used to provide change recommendations, where implementing the recommended change is believed to improve the user's sleep quality. Other embodiments are described and claimed.