Intel Corporation

Jiqiang Song

Liwei Ma

Dawei Wang

Leibo Liu

Shouyi Yin

Eugene Tang

Chao Zhang

Randolph Wang

Zhanglin Liu

Ke Fei Wang

Hong Mei Zhang

Gansha Wu

Ying Gao

Shaojun Wei

Sun C Chan

Hongmei Sun

Bin Luo

Xianchao Xu

Zhuo Wang

Jesse Z Fang

Ho Wang

Dennis Luan

Haibing Xie

Dongping Jony Liu

Paul Peng

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.

Efficient transferring of human experiences to robots and other autonomous machines

Various embodiments are directed to techniques for determining a current location of a mobile device. An apparatus includes a SLAM candidate component to identify a first candidate key frame matching a current captured frame by a first degree from an interval-based key frame set with key frames selected on a recurring interval from multiple earlier captured frames captured by mobile device camera of surroundings within a defined area, a CNN candidate component to identify a second candidate key frame matching the current captured frame.

Techniques for determining a current location of a mobile device

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.

Look-up convolutional layer in convolutional neural network

A mechanism is described for facilitating general purpose input/output data capture and neutral cache system for autonomous machines. A method of embodiments, as described herein, includes capturing, by an image capturing device, one or more images of one or more objects, where the one or more images represent input data associated with a neural network. The method may further include determining accuracy of first output results generated by a default neural caching system by comparing the first output results with second output results predicted by a custom neural caching system. The method may further include outputting, based on the accuracy, a final output results including at least one of the first output results or the second output results.

General purpose input/output data capture and neural cache system for autonomous machines

Various systems and methods for controlling a robot are described herein.

Telerobotic controller

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.

User interface for liquid container

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.

Extending the capabilities of existing devices without making modifications to the existing devices

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.

Low power and fast application service transmission

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.

Growing community of inventors

Beijing, China

Jiqiang Song