Bellevue, WA, United States of America

Ankush Bindlish


 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Ankush Bindlish: Innovator in Image Recognition Technology

Introduction

Ankush Bindlish is a notable inventor based in Bellevue, WA (US). He has made significant contributions to the field of image recognition technology. His innovative work has led to the development of a patent that enhances the way users interact with image queries.

Latest Patents

Ankush Bindlish holds a patent for "Image entity recognition and response." This patent outlines systems and methods for responding to an image query from a computer user. According to the disclosed subject matter, in response to receiving an image query, a search engine identifies the subject matter of the query image according to similar images. An entity name is determined from the similar images and is mapped to a known entity of the search engine. Based on the known entity, related information regarding the known entity is obtained, and one or more search results pages directed to the known entity are generated. At least one of the generated search results pages is returned to the computer user as a response to the image query. This innovative approach streamlines the process of retrieving information based on visual inputs.

Career Highlights

Ankush Bindlish is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in technology to develop cutting-edge solutions that enhance user experience. His work at Microsoft has positioned him as a key player in the advancement of image recognition systems.

Collaborations

Ankush has collaborated with talented individuals such as Udyavara Srikanth Kamath and Minghua Zhang. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Ankush Bindlish is a pioneering inventor whose work in image recognition technology has the potential to transform how users interact with digital content. His contributions to the field are noteworthy and reflect his commitment to innovation.

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