Sammamish, WA, United States of America

Eugene Gershnik


Average Co-Inventor Count = 2.0

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2015-2020

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4 patents (USPTO):Explore Patents

Title: Innovations of Eugene Gershnik

Introduction

Eugene Gershnik is a notable inventor based in Sammamish, WA (US). He has made significant contributions to the field of technology, holding a total of four patents. His work primarily focuses on improving application efficiency and language prediction techniques.

Latest Patents

One of Eugene's latest patents involves reducing the size of an application package. This innovation includes techniques for efficiently handling an application package by identifying a native code library used by the application. A wrapper library is created to enable the application to access the native code library, which is stored in a designated area of the application package. Additionally, if the application package contains multiple native code libraries, a loading order is specified for loading these libraries into the memory of a computing device. Another patent describes techniques for predicting the language of a text excerpt. This process involves comparing n-grams of the text with n-grams from various language references. By calculating probabilities for each n-gram and averaging them, the most likely language of the sample text can be determined.

Career Highlights

Eugene Gershnik is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on the efficiency of software applications and language processing.

Collaborations

Eugene has collaborated with notable coworkers, including Matthew B Barr and Jacob D Cohen, contributing to various projects and advancements in technology.

Conclusion

Eugene Gershnik's contributions to technology through his patents and work at Amazon Technologies, Inc. highlight his innovative spirit and dedication to improving application efficiency and language prediction. His work continues to influence the tech industry positively.

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