Abstract:
An apparatus, system and other techniques for a smart card device, one or more host devices and a modular computing system comprising a smart card device and one or more host devices are described. For example, an apparatus or example smart card device may comprise one or more processor circuits, an interface coupled to the one or more processor circuits, the smart card device sized to be removably inserted into a host device and the interface configured to removably couple the smart card device to the host device, and logic, at least a portion of which is in hardware, the logic to configure the smart card device based on one or more characteristics of the host device. Other embodiments are described and claimed.
Abstract:
Embodiments of techniques and apparatus for open angle detection and processing are described. In embodiments, an apparatus may comprise a first panel having a display, a second panel movably coupled with the first panel. The first and second panels variably define an angle between these two panels. One or more sensors may be disposed in the apparatus and configured to detect an angle change event of the variable angle between two panels. The angle changing information may be used by an application to vary output of the application onto the display. Other embodiments may be described and claimed.
Abstract:
A mechanism is described for facilitating transferring of human experiences to autonomous machines. A method of embodiments, as described herein, includes facilitating sensing, by one or more sensors, one or more inputs relating to a user, and evaluating the one or more inputs to capture one or more behavior traits of the user. The method may further include training a neural network model based on the one or more behavior traits, and applying the trained neural network model to a computing device to facilitate the computing device to adopt the one or more behavior traits to behave as the user.
Abstract:
A system of extending functionalities of a host device using a smart flash storage device comprises the host device having a host interface and configured to perform a specific function to generate a first set of data. The host device is coupled with a flash storage device. The flash storage device is configured to conform to a flash memory interface. A set of data generated by the host device is to be stored in flash memory storage of the flash storage device. A processor of the flash storage device is configured to run one or more user applications to process the set of data. The processor is to operate using power supplied by the host device.
Abstract:
Apparatuses, systems, media and/or methods may involve providing work assistance. One or more user actions may be recognized, which may be observed by an image capture device, wherein the user actions may be directed to a work surface incapable of electronically processing one or more of the user actions. One or more regions of interest may be identified from the work surface and/or content may be extracted from the regions of interest, wherein the regions of interest may be determined based at least on one or more of the user actions. Additionally, one or more support operations associated with the content may be implemented.
Abstract:
Embodiments provide for a processor including logic to accelerate convolutional neural network processing, the processor including first logic to apply a convolutional layer to an image to generate a first convolution result and second logic to apply a look-up convolutional layer to the first convolution result to generate a second convolution result, the second convolution result associated with a location of the first convolution result within a global filter kernel.
Abstract:
A mechanism is described for facilitating transferring of human experiences to autonomous machines. A method of embodiments, as described herein, includes facilitating sensing, by one or more sensors, one or more inputs relating to a user, and evaluating the one or more inputs to capture one or more behavior traits of the user. The method may further include training a neural network model based on the one or more behavior traits, and applying the trained neural network model to a computing device to facilitate the computing device to adopt the one or more behavior traits to behave as the user.
Abstract:
A container, such as a beverage container or a mug, may include electronics to run applications. In some examples, the container may include a display for visually displaying icons, menus, data, and other elements. In some examples, the container may include one or more sensors, such as touch sensitivity built into the display or a separate touch-sensitive panel, and/or a motion sensor. In some examples, the container may use the one or more sensors to receive input from a user to run interactive applications on the display. In some examples, the container may recognize particular forms of input, such as user swipes in specified directions and/or for specified durations on the touch-sensitive display, and/or motion of the container in specified directions to execute specified commands for the applications. The recognized input may form a user interface for the user.
Abstract:
A product includes a porcelain external wall, a touchscreen panel positioned behind the external wall, a graphical display panel positioned behind the external wall, graphical display logic to render a graphical user interface on the graphical display device to be projected through the porcelain external wall, and touch logic to interpret touch interactions with the touchscreen panel received through the porcelain external wall. The porcelain external wall at least partially obscures presentation of the graphical user interface.
Abstract:
An apparatus, method and system are provided to allow a low power and fast application service transmission (LP-FAST) engine to enhance the quality of service (QoS) and optimize the power consumption of the mobile applications operating in a mobile terminal in a service-aware, bandwidth-aware and power-consumption-aware manner.