Intel Corporation

Mobileye Vision Technologies Ltd.

Fatema Adenwala

Nageen Himayat

Divya Vijayaraghavan

Florence R Pon

Ankitha Chandran

Johanna M Swan

Shahrnaz Azizi

Mengjie Yu

Rajashree Raji Baskaran

Siew Wen Chin

Ravindra V Narkhede

Melissa M Ortiz

Hoang Tran Van

Melissa Ortiz

Rajashree Baskaran

Apparatuses, methods and storage medium associated with computer-assisted or autonomous driving (CA/AD) vehicles are disclosed herein. In embodiments, CA/AD vehicles are members of a CA/AD vehicle social network (CASN) in which various CA/AD vehicles may form connections or relationships with one another. CA/AD vehicles that have an existing relationship or connection may share CASN information with one another. The CASN information may include authenticated and/or proprietary information. Other embodiments are also described and claimed.

Computer-assisted or autonomous driving vehicles social network

Technologies for providing a cognitive capacity test for autonomous driving include a compute device. The compute device includes circuitry that is configured to display content to a user, prompt a message to the user to turn user's attention to another activity that needs situational awareness, receive a user response, and analyze the user response to determine an accuracy of the user response and a response time, wherein the accuracy and response time are indicative of a cognitive capacity of the user to assume control of an autonomous vehicle when the autonomous vehicle encounters a situation that the vehicle is unable to navigate.

Technologies for providing a cognitive capacity test for autonomous driving

Techniques for monitoring the health of a device comprising a motor or generator are described. An apparatus to monitor the health of the device includes a plurality of sensors to detect root-mean-square (RMS) current values for a plurality of stator windings of the device. The apparatus also includes a processor to receive the RMS current values from the plurality of sensors and compute a fault indicator based on the RMS current values. The fault indicator represents a level of current imbalance between the plurality of stator windings due to winding faults.

Monitoring health of electrical equipment

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Hillsboro, OR, United States of America

Fatema Adenwala