Abstract: An embodiment of a graphics apparatus may include a facial expression detector to detect a facial expression of a user, and a parameter adjuster communicatively coupled to the facial expression detector to adjust a graphics parameter based on the detected facial expression of the user. The detected facial expression may include one or more of a squinting, blinking, winking, and facial muscle tension of the user. The graphics parameter may include one or more of a frame resolution, a screen contrast, a screen brightness, and a shading rate. Other embodiments are disclosed and claimed.

Abstract: Compositions and methods of using such compositions to inhibit the formation of gas hydrate agglomerates are provided. In certain embodiments, the methods include: contacting a fluid with a hydrate inhibitor composition that includes at least one compound having the structural formula (I) wherein R1 is hydrogen or any C1 to C8 hydrocarbon chain; each of R2 and R3 is independently a C1 to C8 hydrocarbon chain; R4 is hydrogen, a C1 to C20 hydrocarbon chain, or —CH2—CH(OH)—R5; R5 is a C1 to C50 alkyl chain or a C1 to C50 alkenyl chain; X? is a counter anion; and n is an integer from 1 to 8.

Abstract: A catalyst includes a mixed metal oxide; an alumina; silica, and calcium, where the mixed metal oxide includes Cu and at least one of Mn, Zn, Ni, or Co. Such catalysts exhibit enhanced tolerance sulfur-containing compounds and free fatty acids.

Abstract: Embodiments for feature engineering by one or more processors are described. A plurality of transformations are applied to a set of features in each of a plurality of datasets. An output of each of the plurality of transformations is a score. For each of the sets of features, selecting those of the plurality of transformations for which said score is above a predetermined threshold. A signal representative of said selection is generated.

Abstract: Techniques for scenario planning are provided. In one example, a computer-implemented method can comprise analyzing, by a device operatively coupled to a processor, content using a topic model. The content can be associated with a defined source and is related to one or more current events. The computer-implemented method can also comprise determining, by the device, one or more portions of the analyzed content that are relevant to one or more key risk drivers using a risk driver model. The computer-implemented method can also comprise aggregating, by the device, the determined one or more portions into one or more emerging storylines based on values of one or more attributes of the topic model.

Abstract: Techniques for scenario planning are provided. In one example, a computer-implemented method can comprise analyzing, by a device operatively coupled to a processor, content using a topic model. The content can be associated with a defined source and is related to one or more current events. The computer-implemented method can also comprise determining, by the device, one or more portions of the analyzed content that are relevant to one or more key risk drivers using a risk driver model. The computer-implemented method can also comprise aggregating, by the device, the determined one or more portions into one or more emerging storylines based on values of one or more attributes of the topic model.

Abstract: In one example, a head mounted display system includes detecting a position of a head of a user of the head mounted display, predicting a position of the head of the user of the head mounted display at a time after a time that the position of the head of the user was detected, and rendering image data based on the predicted head position.

Abstract: In one example, a head mounted display system includes at least one memory; and at least one processor to execute instructions to: detect a first position and a first view direction of a head of a user based on sensor data generated by at least one of an accelerometer, at least one camera, or a gyroscope at a first point in time; determine a latency associated with a time to cause an image to be presented on the display; determine a predicted position and a predicted view direction of the head of the user at a second point in time based on the latency; render, prior to the second point in time, the image for presentation on the display based on the predicted position and the predicted view direction of the head of the user; and cause the display to present the rendered image.

Abstract: Systems and methods may be used to provide neutral host edge services in an edge network. An example method may include generating a virtual machine for a communication service provider at a compute device. The method may include receiving a user packet originated at a user device associated with the communication service provider and identifying dynamic route information related to the user packet using the virtual machine corresponding to the communication service provider. Data may be output corresponding to the user packet based on the dynamic route information.

Abstract: Systems, apparatuses and methods may provide away to enhance an augmented reality (AR) and/or virtual reality (VR) user experience with environmental information captured from sensors located in one or more physical environments. More particularly, systems, apparatuses and methods may provide a way to track, by an eye tracker sensor, a gaze of a user, and capture, by the sensors, environmental information. The systems, apparatuses and methods may render feedback, by one or more feedback devices or display device, for a portion of the environment information based on the gaze of the user.

Abstract: Methods and apparatus relating to techniques for shutting down one or more GPU (Graphics Processing Unit) components in response to unchanged scene detection are described. In one embodiment, one or more components of a processor enter a low power consumption state in response to a determination that a scene to be displayed is static. The static scene is displayed on a display device (e.g., based on information to be retrieved from memory) for as long as no change to the static scene is detected. Other embodiments are also disclosed and claimed.

Abstract: Embodiments for accurate temporal event predictive modeling by a processor. An average reverse event delay may be determined from one or more event delays in a time-series window. A time-series event may be predicted by applying the average reverse event delay in conjunction with one or more weighted factors in a predictive model.

Abstract: An example via contact patterning method includes providing a pattern of alternating trench contacts and gates over a support structure. For each pair of adjacent trench contacts and gates, a trench contact is electrically insulated from an adjacent gate by a dielectric material and/or multiple layers of different dielectric materials, and the gates are recessed with respect to the trench contacts. The method further includes wrapping a protective layer of one or more dielectric materials, and a sacrificial helmet material on top of the trench contacts to protect them during the via contact patterning and etch processes for forming via contacts over one or more gates. Such a method may advantageously allow increasing the edge placement error margin for forming via contacts of metallization stacks.

Abstract: Dual cation hydrate inhibitor compositions and methods of using such compositions to, for example, inhibit the formation of gas hydrate agglomerates are provided. In some embodiments, such methods include introducing a hydrate inhibitor composition into a fluid, wherein the hydrate inhibitor composition includes at least one compound having the structural formula: wherein each of R1, R2, and R3 is independently a C1 to C6 hydrocarbon chain, wherein R4 is selected from the group consisting of hydrogen and any C1 to C50 hydrocarbon chain, wherein each of R5 and R6 is independently selected from the group consisting of hydrogen and a C1 to C50 hydrocarbon chain, wherein X? and Y? are counter anions, and wherein each of a and b is independently an integer from 1 to 10.

Abstract: An embodiment of a graphics apparatus may include a focus identifier to identify a focus area, and a color compressor to selectively compress color data based on the identified focus area. Another embodiment of a graphics apparatus may include a motion detector to detect motion of a real object, a motion predictor to predict a motion of the real object, and an object placer to place a virtual object relative to the real object based on the predicted motion of the real object. Another embodiment of a graphics apparatus may include a frame divider to divide a frame into viewports, a viewport prioritizer to prioritize the viewports, a renderer to render a viewport of the frame in order in accordance with the viewport priorities, and a viewport transmitter to transmit a completed rendered viewport. Other embodiments are disclosed and claimed.

Abstract: An embodiment of a graphics apparatus may include a context engine to determine contextual information, a recommendation engine communicatively coupled to the context engine to determine a recommendation based on the contextual information, and a configuration engine communicatively coupled to the recommendation engine to adjust a configuration of a graphics operation based on the recommendation. Other embodiments are disclosed and claimed.

Abstract: Systems, apparatuses and methods may provide for technology that identifies, at an image post-processor, unresolved surface data and identifies, at the image post-processor, control data associated with the unresolved surface data. Additionally, the technology may resolve, at the image post-processor, the unresolved surface data and the control data into a final image.

Abstract: An embodiment of a graphics apparatus may include a processor, memory communicatively coupled to the processor, and a collaboration engine communicatively coupled to the processor to identify a shared graphics component between two or more users in an environment, and share the shared graphics components with the two or more users in the environment. Embodiments of the collaboration engine may include one or more of a centralized sharer, a depth sharer, a shared preprocessor, a multi-port graphics subsystem, and a decode sharer. Other embodiments are disclosed and claimed.

Abstract: Virtual reality systems and methods are described. For example, one embodiment of an apparatus comprises: a communications interface to provide frame data of a virtual reality scene to a head mounted display (HMD); at least one performance monitor coupled to at least one component of the apparatus the at least one performance monitor to monitor performance of the at least one component and to send an alert based on the performance of the at least one component; a processor to process the frame data; a controller to receive the alert based on the performance of the at least one component and to offload processing of the frame data from the processor to the HMD for processing; and a display to show the rendered view of the scene.

Abstract: In one embodiment, an apparatus comprises a memory and a processor. The memory is to store sensor data captured by one or more sensors associated with a first device. Further, the processor comprises circuitry to: access the sensor data captured by the one or more sensors associated with the first device; determine that an incident occurred within a vicinity of the first device; identify a first collection of sensor data associated with the incident, wherein the first collection of sensor data is identified from the sensor data captured by the one or more sensors; preserve, on the memory, the first collection of sensor data associated with the incident; and notify one or more second devices of the incident, wherein the one or more second devices are located within the vicinity of the first device.