Intel Corporation

Varian Medical Systems, Inc.

Wenlong Yang

Tomer Rider

Daniel Pohl

Anbang Yao

Jiewen Yao

Ying Liu

Buddy Cao

Yuan Xiong

Feiyue Zhai

Roman Schick

Chuan Song

Ayoob Nabwani

Zhuangzhi Li

Fengqian Gao

Changcheng Liu

Xiaopei Zhang

Avi Nahmias

Chuansheng Liu

Haili Zhang

Jiao Zuo

Jiewen Jacques Yao

Zhen Han

Chuan Edmund Song

Haili Harry Zhang

The present disclosure is directed at pairing a host electronic device with a peripheral electronic device using visual recognition and deep learning techniques. In particular, the host device may receive an indication of a peripheral device via a camera or as a result of searching for the peripheral device (e.g., due startup of a related application or periodic scanning). The host device may also receive an image of the peripheral device (e.g., captured via the camera), and determine a visual distance to the peripheral device based on the image. The host device may also determine a signal strength of the peripheral device, and determine a signal distance to the peripheral device based on the signal strength. The host device may pair with the peripheral device if the visual distance and the signal distance are approximately equal.

Systems and methods for pairing devices using visual recognition

An embodiment of a semiconductor package apparatus may include technology to analyze an electronic image to determine indirect information including one or more of shadow information and reflection information, and provide the indirect information to a vehicle guidance system. Other embodiments are disclosed and claimed.

Object detection and tracking for autonomous driving utilizing shadows and reflections

A mechanism is described for facilitating deep learning-based real-time detection and correction of compromised sensors in autonomous machines according to one embodiment. An apparatus of embodiments, as described herein, includes detection and capturing logic to facilitate one or more sensors to capture one or more images of a scene, where an image of the one or more images is determined to be unclear, where the one or more sensors include one or more cameras. The apparatus further comprises classification and prediction logic to facilitate a deep learning model to identify, in real-time, a sensor associated with the image.

Deep learning-based real-time detection and correction of compromised sensors in autonomous machines

Disclosed herein are methods and system for training artificial intelligence models configured to execute image segmentation techniques. The methods and system describe a server that receives a first image including a set of pixels depicting multiple objects. The server also receives a second image having a second set of pixels depicting the same set of objects. The server then analyzes the pixels from the first and second images. When a difference between at least one visual attribute of a pixel within the second image and a corresponding pixel within the first image satisfies a predetermined threshold, it will be encoded as spikes to send to the model, the model will be trained using supervised STDP rule by revising weights associated with the nodes within the AI model where the node corresponds to the pixels within the first and/or the second image.

Image contouring using spiking neural networks

Example haptic gloves for virtual reality systems and related methods are disclosed herein. An example apparatus disclosed herein includes a glove to be worn on a hand of a user, an ultrasonic array disposed on an inner surface of the glove, and a control unit to activate the ultrasonic array device to generate haptic feedback on the hand of the user.

Haptic gloves for virtual reality systems and methods of controlling the same

Various systems and methods for optimizing use of environmental and operational sensors are described herein. A system for improving sensor efficiency includes object recognition circuitry implementable in a vehicle to detect an object ahead of the vehicle, the object recognition circuitry configured to use an object detection operation to detect the object from sensor data of a sensor array, and the object recognition circuitry configured to use at least one object tracking operation to track the object between successive object detection operations; and a processor subsystem to: calculate a relative velocity of the object with respect to the vehicle; and configure the object recognition circuitry to adjust intervals between successive object detection operations based on the relative velocity of the object.

Vehicle sensor fusion

A vehicle () may include one or more image sensors () configured to provide sensor image data () representing a sensor image of a vicinity of the vehicle (), and one or more processors () configured to determine one or more obstacles () from the sensor image data (), to determine a distance from ground for each of the one or more obstacles () based its corresponding image object (), and to trigger a safety operation when the distance from ground is equal to or less than a safety height associated with the vehicle (). A method for avoiding a collision of a vehicle with one or more obstacles.

Vehicle and method for avoiding a collision of a vehicle with one or more obstacles

Techniques are disclosed for analyzing a graph image in a disconnected mode, e.g., when a graph is rendered as .jpeg, .gif, .png, and so on, and identifying a portion of the graph image associated with a plot/curve of interest. The identified portion of the graph image may then be utilized to generate an adjusted image. The adjusted image may therefore dynamically increase visibility of the plot/curve of interest relative to other plots/curves, and thus the present disclosures provides additional graph functionalities without access to the data originally used to generate the graph. The disconnected graph functionalities disclosed herein may be implemented within an Internet browser or other 'app' that may present images depicting graphs to a user.

Visual inspection method for graphs pictures in internet browser

Apparatus, method and storage medium associated with a beverage dispensing apparatus are disclosed herein. In embodiments, a beverage dispensing apparatus may include a dispenser to dispense a beverage into a beverage container placed underneath the dispenser; one or more sensors to sense and collect depth data associated with the beverage container; and a controller coupled to the dispenser and the one or more sensors to control the dispenser's dispensation of the beverage, in accordance with a capacity of the beverage container inferred based at least in part on the collected depth data associated with the beverage container. Other embodiments may be disclosed or claimed.

Beverage dispensing apparatus method and apparatus

In an embodiment of the invention, a portable electronic device may conserve power while in a normal power mode. The display screen of the portable electronic device may be switched from an original screen mode to an adjusted screen mode. In adjusted screen mode, the display screen may display an adjustable displaying area that is reduced from an original size and it may include an inactive area sized to reduce display consumption of power. An original interface, or a portion thereof, may be displayed in the adjustable displaying area. Other embodiments are described and claimed.

Displaying area adjustment

Apparatuses, systems, media, and/or methods may involve a keyboard and/or a selection of an element thereof. The keyboard may include a keyboard configuration, which may have one or more elements such as a character, a key, and/or functionality for the key. The key may include no characters, one or more characters, and/or one or more sets of characters. The architecture of the keyboard configuration may be based on one or more categories, such as a hand category and/or a finger category. In addition, a touch area may be recognized, which may be formed between a user digit and the key of the keyboard configuration. The category associated with the touch area may be determined, wherein the character, the key, and/or the functionality for the key may be selected based on the category.

Category-based keyboard

In an embodiment, a method includes receiving user interface information having event registrations for a user interface to be displayed on a display of a system, partitioning the display into an unused display area and an active display area based on the event registrations, and power managing the unused display area while maintaining the active display area fully powered. Other embodiments are described and claimed.

Automatically adjusting display areas to reduce power consumption

A device, method and system for recovering an operating system may comprise a near field communication module; a high speed wireless communication module; and a recovery manager. In some embodiments, the recovery manager may initiate a session between a portable communication device and another portable communication device through a near field communication connection established by the near field communication module; continue the session to receive an operating system image from the another portable communication device through a high speed wireless connection established by the high speed wireless communication module; and recover the operating system of the portable communication device with use of the operating system image.

Growing community of inventors

Shanghai, China

Wenlong Yang