Palo Alto, CA, United States of America

Yoram Singer

USPTO Granted Patents = 17 

Average Co-Inventor Count = 4.9

ph-index = 5

Forward Citations = 164(Granted Patents)


Company Filing History:


Years Active: 2013-2024

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17 patents (USPTO):

Title: Yoram Singer: Innovator in Data Classification and Machine Learning

Introduction

Yoram Singer, an accomplished inventor based in Palo Alto, California, has made significant contributions to the fields of data classification and machine learning. With a strong portfolio of 17 patents to his name, his innovative work has influenced various technological advancements, particularly in the realm of artificial intelligence.

Latest Patents

Yoram's latest patents showcase his expertise in developing methods and systems for classifying data objects. One notable patent outlines techniques for classifying data objects through methods, systems, and apparatuses, including computer programs encoded on computer storage media. This method involves obtaining data that associates each term in a vocabulary with a high-dimensional representation, followed by computing an aggregate high-dimensional representation for the data object. The process culminates with identifying the most relevant category label for the data object based on its high-dimensional representation.

Another significant patent focuses on a regularization relaxation scheme for training machine learning systems. This invention includes a method where multiple training examples are processed, and a machine learning model is refined by dynamically adjusting regularization penalties during the training process to enhance model performance.

Career Highlights

Yoram is currently employed at Google Inc., where he continues to push the boundaries of technology and innovation. His work at Google has positioned him as a leading figure in the development of advanced machine learning systems, particularly in the efficient classification of data.

Collaborations

Throughout his career, Yoram has collaborated with notable colleagues such as Tushar Deepak Chandra and Tal Shaked. These collaborations have resulted in noteworthy advancements in machine learning and artificial intelligence, highlighting Yoram’s ability to work effectively in a team-oriented environment.

Conclusion

Yoram Singer's contributions to the fields of data classification and machine learning underscore his status as a key innovator. With a robust patent portfolio and ongoing work at Google, he continues to influence the development of technologies that are reshaping how we interact with data and artificial intelligence. His innovative approaches not only advance technology but also pave the way for future discoveries and applications in the tech industry.

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