Microsoft Technology Licensing, LLC

Vashutosh Agrawal

Lisa Joy Stifelman

Nikrouz Ghotbi

August Kathryn Niehaus

Aleksandar Antonijevic

Sachin Venugopalan

Tvrtko Tadic

Goran Predovic

Dragomir Dimitrov Yankov

Michael Robert Evans

Nikola Todic

Aleksandar Samardzija

Varun Kakkar

Nikola Perin

Antonios Karatzoglou

Mohit Khanna

Jacob Nicholas Whitbeck

Tijana Bekic

A technique automatically identifies and resolves prohibited maneuvers in candidate routes generated by a routing system. Examples of prohibited maneuvers include traveling over a non-navigable path, traveling in an incorrect direction over a roadway, and an improper turn. The technique determines whether the candidate routes contain prohibited maneuvers by comparing the candidate routes with plural types of route-related validation data in plural respective validation processes. For example, a first validation process compares the candidate routes with a collection of GPS traces. A second validation process compares the candidate routes with map reference data. The technique further includes provisions for correcting the causes of identified prohibited maneuvers. Overall, the technique reduces the amount of manual effort involved in verifying the accuracy of routes produced by the routing system, and improves the accuracy, reliability, and safety of the routing system.

Identifying and resolving prohibited maneuvers in routes generated by a routing system

Methods, systems, and computer programs are presented for a smart communications assistant with an audio interface. One method includes an operation for getting messages addressed to a user. The messages are from one or more message sources and each message comprising message data that includes text. The method further includes operations for analyzing the message data to determine a meaning of each message, for generating a score for each message based on the respective message data and the meaning of the message, and for generating a textual summary for the messages based on the message scores and the meaning of the messages. A speech summary is created based on the textual summary and the speech summary is then sent to a speaker associated with the user. The audio interface further allows the user to verbally request actions for the messages.

Smart communications assistant with audio interface

Growing community of inventors

Bellevue, WA, United States of America

Vashutosh Agrawal