Abstract: In one embodiment, a processor includes: a plurality of cores to execute instructions; a power controller to control power consumption of the plurality of cores, the power controller to receive network traffic metadata from a classifier and control the power consumption of at least one of the plurality of cores based at least in part on the network traffic metadata; and a hardware feedback circuit coupled to the plurality of cores, the hardware feedback circuit to determine hardware feedback information comprising an energy efficiency capability and a performance capability of at least some of the plurality of cores based at least in part on the network traffic metadata. Other embodiments are described and claimed.

Abstract: A computer-implemented method of video coding comprises receiving at least one frame of a video sequence of an interactive application interface associated with at least one asset displayable on the interface in response to a user action related to the interface. The method includes encoding the at least one frame. The method also includes transmitting the at least one asset and the encoded at least one frame to a remote device. The transmitting operation refers to performing the transmitting regardless of whether a request to display the at least one asset exists. The asset can be a non-persistent asset on the frame only while a user performs a continuous action or maintains a cursor at a specific place on the interface. The asset also can be a persistent asset on the frame in response to a first action and is removed from the display in response to a second action.

Abstract: Methods and apparatus to manage power and performance of computing devices based on user presence are disclosed. An apparatus includes an engagement detector to determine an engagement of a user with a device based on at least one of image data generated by an image sensor or an application running on the device; and an operation mode selector to select one of a plurality of operation modes for the device based on a level of engagement of the user, the plurality of operation modes including (1) a first operation mode associated with the device operating at a first performance level and a first power level and (2) a second operation mode associated with the device operating at a second performance level and a second power level, the first performance level being higher than the second performance level, the first power level being higher than the second power level.

Abstract: Examples disclosed herein include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data.

Abstract: Examples disclosed herein include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to synchronized threads. Example apparatus disclosed herein identify a first trigger frequency associated with a first application thread, the first trigger frequency corresponding to first times of first requests associated with the first application thread. Disclosed example apparatus also identify a second trigger frequency associated with a second application thread, the second trigger frequency corresponding to second times of second requests associated with the second application thread, the second trigger frequency different from the first trigger frequency. Disclosed example apparatus further determine a third trigger frequency based on the first and second trigger frequencies, and adjust at least one of the first requests or the second requests to the third trigger frequency.

Abstract: An apparatus of embodiments, as described herein, includes one or more processors to track data associated with movement of a computing device accessible to a user, and evaluate the data and compare a latency with latency thresholds, where the data indicates the latency and the latency thresholds associated with a frame. The one or more processors are further to maintain a current video encoding rate, if the latency is lower than a first latency threshold and greater than a second latency threshold. The current video encoding rate is decreased if the latency is equal to or greater than the first latency threshold, where the current video encoding rate is increased if the latency is lower than the second latency threshold. The one or more processors are further to present the frame at the computing device including one or more of a wearable device and a mobile device.

Abstract: Example smart panel display apparatus and related methods are disclosed herein. An example apparatus to control a display of an electronic device includes a user presence detector to determine a presence of a user relative to the device based on image data generated by an image sensor of the device. The example apparatus includes a gaze detector to determine a direction of a gaze of the user relative to the image sensor based on the image data. The example apparatus includes a backlight manager to selectively adjust a display brightness based on the presence of the user and the direction of the gaze of the user.

Abstract: Methods and apparatus for in-field thermal calibration are disclosed. A disclosed example apparatus includes instructions, memory in the apparatus, and processor circuitry. The processor circuitry is to execute the instructions to determine that a system on chip (SOC) package is deployed, the SOC package deployed with a default first thermal model, in response to the determination that the SOC package is deployed, monitor at least one temperature of the SOC package from a sensor and power usage of the SOC package, calibrate a second thermal model based on the at least one temperature and the power usage, and publish the calibrated second thermal model for control of the SOC package.

Abstract: Apparatus, systems, and methods for intelligent tuning of overclocking frequency are disclosed. An example apparatus includes trial control circuitry to execute an optimization model to select first values for overclocking parameters of a processor, the first values associated with a first trial, and perform benchmark testing of the processor when the processor is operating based on the first values; trial evaluation circuitry to calculate a first score for the first trial based on the benchmark testing; and model updating circuitry to perform a comparison of the first score to a second score, the second score associated with a second trial for second values for the overclocking parameters, the second values different than the first values; and select one of the first values or the second values to overclock the processor based on the comparison.

Abstract: Methods, systems, and apparatus to reconfigure a computer are disclosed. An example electronic device includes at least one memory, instructions in the electronic device, and processor circuitry to execute instructions to analyze data corresponding to a first configuration of the electronic device to detect a change associated with the electronic device, the first configuration corresponding to a respective first user profile, determine a second configuration of the electronic device based on the detected change, and adjust a configuration of the electronic device from the first configuration to the second configuration.

Abstract: An example apparatus includes image processing circuitry to determine an uncovered region of a background image in a current video frame relative to the background image in a previous video frame, the uncovered region obscured in the previous video frame by a first foreground region of the previous video frame, and the uncovered region uncovered in the current video frame based on movement of a second foreground region in the current video frame relative to the first foreground region of the previous video frame, and encoder circuitry to generate an updated frame portion by encoding the second foreground region and dirty blocks of the background image corresponding to the uncovered region without encoding static blocks of the background image, the static blocks not corresponding to the uncovered region, and store the updated frame portion in the at least one memory.

Abstract: Techniques and mechanisms to dynamically prioritize communication of a data flow based on an indication of a user's interest in a particular task. In an embodiment, data flows correspond to different respective tasks that are executed with a host operating system. An output of a human interface device indicates whether, at a particular time, a user of a computer device is interested in one particular task over another task. Where greater user interest in a first task is indicated, a first packet type corresponding to the first task is assigned a relatively high priority, as compared to a second packet type which corresponds to a second task. Based on the priority, a resource of the network interface is selectively made available (or prevented from being made available) for the communication of a given packet. In another embodiment, the resource includes a queue of the network interface.

Abstract: Technologies for providing information to a user while traveling include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data. Other embodiments are described and claimed.

Abstract: A lid controller hub (LCH) comprising processing components located in the lid of a mobile computing device, such as a laptop, processes sensor data generated by input sensors (microphones, cameras, touchscreen) and provides for improved and enhanced experiences over existing devices. For example, the LCH provides hardened privacy and the synchronization of touch display activities with the display refresh rate, the latter providing for a smoother and more responsive touch experience over existing designs. The LCH comprises neural network accelerators and digital signal processors that enable waking a device upon detection of an authenticated user's voice or face. The LCH also allows for video- and audio-based contextual awareness and adaptive cooling. By enabling a reduced hinge wire count and a typical day's usage with a single battery charge, an LCH can also provide for an improved industrial design to a simpler hinge and smaller battery.

Abstract: Display pixels having integrated memory are disclosed. A disclosed example memory pixel includes a light emitter on a semiconductor substrate, memory co-located with the light emitter on the same semiconductor substrate, and a comparator in circuit with the memory, the comparator to control a flow of electrical current to the light emitter based on pixel data from the memory and timing information.

Abstract: Methods and apparatus to improve user experience on computing devices are disclosed. An example computing device includes an image sensor. The example computing device further includes wireless communication circuitry. The example computing device also includes an operations controller to cause the wireless communication circuitry to switch between different operation modes based on an analysis of image data generated by the image sensor. Different ones of the operation modes to consume different amounts of power.

Abstract: In an embodiment, a system includes a wearable device having a sensor that detects whisper data from a user. The whisper data may include vibrational data, audio data, and/or biometric signals, and correspond to words whispered by the user at a first decibel level. The system also includes a processor communicatively coupled to the sensor that extracts features associated with the whisper data including frequencies and/or amplitudes associated with the whispered data, and generates speech data based on the whisper data and the features. The speech data corresponds to the words spoken at a second decibel level, where the second decibel level is greater than the first decibel level.

Abstract: An apparatus of embodiments, as described herein, includes one or more processors to track data associated with movement of a computing device accessible to a user, and evaluate the data and compare a latency with latency thresholds, where the data indicates the latency and the latency thresholds associated with a frame. The one or more processors are further to maintain a current video encoding rate, if the latency is lower than a first latency threshold and greater than a second latency threshold. The current video encoding rate is decreased if the latency is equal to or greater than the first latency threshold, where the current video encoding rate is increased if the latency is lower than the second latency threshold. The one or more processors are further to present the frame at the computing device including one or more of a wearable device and a mobile device.

Abstract: Technologies for providing information to a user while traveling include a mobile computing device to determine network condition information associated with a route segment. The route segment may be one of a number of route segments defining at least one route from a starting location to a destination. The mobile computing device may determine a route from the starting location to the destination based on the network condition information. The mobile computing device may upload the network condition information to a crowdsourcing server. A mobile computing device may predict a future location of the device based on device context, determine a safety level for the predicted location, and notify the user if the safety level is below a threshold safety level. The device context may include location, time of day, and other data. The safety level may be determined based on predefined crime data.