Abstract: Disclosed herein is an example communication apparatus that includes processor circuitry to execute instructions to: determine a context of a message; perform a comparison of the context of the message with a target recipient emotional state; apply a rule to select an action for the message based on the comparison; cause performance of the action; determine an effect of the action on an emotional state of a user; and update the rule based on the effect.

Abstract: Technologies for time-delayed augmented reality (AR) presentations includes determining a location of a plurality of user AR systems located within the presentation site and determining a time delay of an AR sensory stimulus event of an AR presentation to be presented in the presentation site for each user AR system based on the location of the corresponding user AR system within the presentation site. The AR sensory stimulus event is presented to each user AR system based on the determined time delay associated with the corresponding user AR system. Each user AR system generates the AR sensory stimulus event based on a timing parameter that defines the time delay for the corresponding user AR system such that the generation of the AR sensory stimulus event is time-delayed based on the location of the user AR system within the presentation site.

Abstract: Embodiments are directed to neural network processing for multi-object three-dimensional (3D) modeling. An embodiment of a computer-readable storage medium includes executable computer program instructions for obtaining data from multiple cameras, the data including multiple images, and generating a 3D model for 3D imaging based at least in part on the data from the cameras, wherein generating the 3D model includes one or more of performing processing with a first neural network to determine temporal direction based at least in part on motion of one or more objects identified in an image of the multiple images or performing processing with a second neural network to determine semantic content information for an image of the multiple images.

Abstract: Gesture input with multiple displays, views, and physics is described. In one example, a method includes generating a three dimensional space having a plurality of objects in different positions relative to a user and a virtual object to be manipulated by the user, presenting, on a display, a displayed area having at least a portion of the plurality of different objects, detecting an air gesture of the user against the virtual object, the virtual object being outside the displayed area, generating a trajectory of the virtual object in the three-dimensional space based on the air gesture, the trajectory including interactions with objects of the plurality of objects in the three-dimensional space, and presenting a portion of the generated trajectory on the displayed area.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to map multi-display positions. An example apparatus includes processor circuitry to cause a first display to present a first image, cause a second display to present a second image, detect a first reflection based on the first image, detect a second reflection based on the second image, and determine a position of the first display relative to the second display based on the first reflection and the second reflection.

Abstract: A mechanism is described for facilitating embedding of human labeler influences in machine learning interfaces in computing environments, according to one embodiment. A method of embodiments, as described herein, includes detecting sensor data via one or more sensors of a computing device, and accessing human labeler data at one or more databases coupled to the computing device. The method may further include evaluating relevance between the sensor data and the human labeler data, where the relevance identifies meaning of the sensor data based on human behavior corresponding to the human labeler data, and associating, based on the relevance, human labeler data with the sensor data to classify the sensor data as labeled data.

Abstract: Examples disclosed herein provide real-time language learning within a smart space. An example system includes a sensor; object detection software to identify a first object and a second object in an environment based on an output of the sensor; assign a first weight to the first object and a second weight to the second object; perform a comparison of the first weight and the second weight; and select the first object to be associated with a second language output based on the comparison; context determination software to determine a second language context based on the output of the sensor; linguistic analysis software to associate the first object with a second language based on the second language context; and prompt generation software to cause the second language output for the first object in the second language to be presented.

Abstract: The systems and methods disclosed herein provide determination of an orientation of a feature towards a reference target. As a non-limiting example, a system consistent with the present disclosure may include a processor, a memory, and a single camera affixed to the ceiling of a room occupied by a person. The system may analyze images from the camera to identify any objects in the room and their locations. Once the system has identified an object and its location, the system may prompt the person to look directly at the object. The camera may then record an image of the user looking at the object. The processor may analyze the image to determine the location of the user's head and, combined with the known location of the object and the known location of the camera, determine the direction that the user is facing. This direction may be treated as a reference value, or “ground truth.” The captured image may be associated with the direction, and the combination may be used as training input into an application.

Abstract: Methods and apparatus to transition between 2D and 3D renderings of augmented reality content are disclosed. An example apparatus includes instructions to cause programmable circuitry to: cause projection of an AR object onto at least one of a first surface in a real-world environment or a second surface in the real-world environment; cause the AR object to appear to move with variable depth relative to the first surface; cause the AR object to appear to move at a fixed depth relative to the second surface; cause the AR object to appear to transition from the first surface to the second surface when an apparent depth of the AR object relative to the first surface is within a threshold of the fixed depth; and prevent the AR object from appearing to transition to the second surface when the apparent depth is not within the threshold of the fixed depth.

Abstract: Methods and apparatus to operate closed-lid portable computers are disclosed. An example portable compute device includes: a microphone; a speaker; a first camera to face a first direction; and a second camera to face a second direction, the second direction opposite the first direction. The compute device further includes communications circuitry; a first display; a second display separate from the first display; and a hinge to enable the first display to rotate relative to the second display between an open position and a closed position. At least a portion of the second display is capable of being visible when the first display is rotated about the hinge to the closed position. The portion of the second display is multiple times longer in a third direction than in a fourth direction perpendicular to the third direction, the third direction extending parallel to an axis of rotation of the hinge.

Abstract: Systems, apparatus, articles of manufacture, and methods for eye gaze correction in camera image streams are disclosed. An example apparatus disclosed herein includes timing circuitry to calculate a duration of time for which an eye gaze of a first user of a video conference is directed toward a second user of the video conference, the second user presented as an image via a video conference interface, the video conference interface presented by a display of an electronic device, and social feedback control circuitry to select an eye gaze time threshold based on content associated with the video conference interface, and in response to the duration satisfying the eye gaze time threshold, cause an alert to be presented on the display with the video conference interface.

Abstract: One embodiment provides an apparatus. The apparatus includes a user profile; and a content filter logic. The content filter logic is to determine whether a content of a received message directed to a target recipient is compatible with the user profile and a current emotional state of the target recipient and to select at least one action based, at least in part, on one or more of the content, the user profile and/or the current emotional state of the target recipient. The at least one action is selected from the group comprising place the received message on hold, provide the received message to the target recipient, modify the received message, delete the received message, store the received message to an original message log, provide an alert to the target recipient, forward the message to another recipient and/or ascertain, from a sender, an urgency of the received message.

Abstract: A trusted communications environment includes a primary participant with a group creator and a distributed ledger, and a secondary participant with communication credentials. An Internet of Things (IoT) network includes a trusted execution environment with a chain history for a blockchain, a root-of-trust for chaining, and a root-of-trust for archives. An IoT network includes an IoT device with a communication system, an onboarding tool, a device discoverer, a trust builder, a shared domain creator, and a shared resource directory. An IoT network includes an IoT device with a communication system, a policy decision engine, a policy repository, a policy enforcement engine, and a peer monitor. An IoT network includes an IoT device with a host environment and a trusted reliability engine to apply a failover action if the host environment fails. An IoT network includes an IoT server including secure booter/measurer, trust anchor, authenticator, key manager, and key generator.

Abstract: The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. Devices can be designed to address the need for network layers, from central servers, through gateways, down to edge devices, to grow unhindered, to discover and make accessible connected resources, and to support the ability to hide and compartmentalize connected resources. Network protocols can be part of the fabric supporting human accessible services that operate regardless of location, time, or space. Innovations can include service delivery and associated infrastructure, such as hardware and software. Services may be provided in accordance with specified Quality of Service (QoS) terms. The use of IoT devices and networks can be included in a heterogeneous network of connectivity including wired and wireless technologies.

Abstract: Technologies for selectively augmenting communications transmitted by a communication device include a communication device configured to acquire new user environment information relating to the environment of the user if such new user environment information becomes available. The communication device is further configured to create one or more user environment indicators based on the new user environment information, to display the one or more created user environment indicators via a display of the communication device and include the created user environment indicator in a communication to be transmitted by the communication device if the created user environment indicator is selected for inclusion in the communication.

Abstract: Language education systems capable of integrating with a user's daily life and automatically producing educational prompts would be particularly advantageous. An example method includes determining a user's identity, detecting a language education subject, prompting the user with a language education message, receiving a user's response, and updating a user profile associated with the user based on the user's response. Methods may also include determining user state (including emotional, physical, social, etc.) and determining, based on the user state, whether to prompt the user with the language education prompt.

Abstract: The systems and methods disclosed herein provide determination of an orientation of a feature towards a reference target. As a non-limiting example, a system consistent with the present disclosure may include a processor, a memory, and a single camera affixed to the ceiling of a room occupied by a person. The system may analyze images from the camera to identify any objects in the room and their locations. Once the system has identified an object and its location, the system may prompt the person to look directly at the object. The camera may then record an image of the user looking at the object. The processor may analyze the image to determine the location of the user's head and, combined with the known location of the object and the known location of the camera, determine the direction that the user is facing. This direction may be treated as a reference value, or “ground truth.” The captured image may be associated with the direction, and the combination may be used as training input into an application.

Abstract: Various systems and methods for implementing distribution of a neural network workload are described herein. A discovery message is encoded that includes a latency requirement and requested resources for a workload of a neural network. A discovery response, from a proximate resource and in response to the discovery message, is decoded and includes available resources of the proximate resource available for the workload based on the requested resources for the workload. The proximate resource is selected to execute the workload based on the available resources of the proximate resource. In response to the discovery response, an offload request is encoded that includes a description of the workload. The description of the workload identifies the node to execute at the proximate resource. In response to the offload request, an input is provided to a ADAS system based on the result.

Abstract: Methods and apparatus to transition between 2D and 3D renderings of augmented reality content are disclosed. An example apparatus includes at least one processor to execute instructions to: determine a first intended movement of an augmented reality (AR) object projected onto a first surface in a real world environment; cause the AR object to be rendered to appear to move along the first surface at a fixed depth defined by the first surface; determine a second intended movement of the AR object projected onto a second surface in the real world environment; and cause the AR object to be rendered to appear to move with variable depth within a 3D virtual space, the 3D virtual space defined by the second surface and a virtual rear boundary, the virtual rear boundary to virtually extend behind the second surface from a perspective of a user.

Abstract: The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle with a controller to control one or more light emitters to produce a light pattern that uniquely identify the vehicle. It may also be directed to a system to receive image data from one or more video cameras located in a location vicinity of the CA/AD vehicle emitting a pattern of light, and to analyze the received image data to determine a physical location of the vehicle.