IDiyas

For the Inventor, By the Inventor

Rehovot, Israel

Uri Merhav

USPTO Granted Patents = 15 

Average Co-Inventor Count = 2.7

ph-index = 3

Forward Citations = 24(Granted Patents)


Company Filing History:

goldMedal15 out of 54,638 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2018-2023

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15 patents (USPTO):Explore Patents
1. 11610109 - Language agnostic machine learning model for title standardization (2023-03-21),
2. 11188823 - Training a neural network using another neural network (2021-11-30),
3. 10896384 - Modification of base distance representation using dynamic objective (2021-01-19),
4. 10726355 - Parent company industry classifier (2020-07-28),
5. 10586157 - Skill-based title prediction model (2020-03-10),
6. 10459901 - Embedded deep representation of social network taxonomy (2019-10-29),
7. 10380480 - Changeover from one neural network to another neural network (2019-08-13),
8. 10380458 - Cold start machine learning algorithm (2019-08-13),
9. 10339612 - Multi-dimensional job title logical models for social network members (2019-07-02),
10. 10255586 - Deriving multi-level seniority of social network members (2019-04-09),
11. 10043254 - Optimal image transformation based on professionalism score of subject (2018-08-07),
12. 10043240 - Optimal cropping of digital image based on professionalism score of subject (2018-08-07),
13. 9904871 - Deep convolutional neural network prediction of image professionalism (2018-02-27),
14. 9886651 - Cold start machine learning algorithm (2018-02-06),
15. 9886498 - Title standardization (2018-02-06),

Title: Innovations of Uri Merhav

Introduction

Uri Merhav is a notable inventor based in Rehovot, Israel. He has made significant contributions to the field of machine learning, holding a total of 15 patents. His work focuses on developing advanced algorithms that enhance the capabilities of machine learning systems.

Latest Patents

One of Uri Merhav's latest patents is a language-agnostic machine learning model for title standardization. This innovative system trains a machine learning model to predict a standardization for a given raw title. The model utilizes a neural network that takes a raw title and a list of candidate titles as input, producing a probability that the raw title and each candidate belong to the same title. This approach allows for the standardization of titles in any language included in the training data, eliminating the need for prior language identification or normalization. Additionally, the model leverages the existence of loan words and relationships between languages.

Another significant patent involves training a neural network using another neural network. In this embodiment, a first deep convolutional neural network (DCNN) is trained to output a value for a specific metric by processing a plurality of labeled sample documents. Subsequently, various transformations of a first input document are evaluated, and a first transformation is selected based on the metric values. A second DCNN is then trained to output a transformation for a document using the selected first transformation.

Career Highlights

Uri Merhav is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate in the field of machine learning. His work has garnered attention for its practical applications and contributions to technology.

Collaborations

Uri has collaborated with notable colleagues, including Dan Shacham and How Jing, further enhancing the impact of his work through teamwork and shared expertise.

Conclusion

Uri Merhav's contributions to machine learning and his innovative patents demonstrate his commitment to advancing technology. His work continues to influence the field and pave the way for future developments.

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