Gokhuldass Mohandas

Title: Gokhuldass Mohandas: Innovator in Word Embedding Technologies

Introduction

Gokhuldass Mohandas is a notable inventor based in Palo Alto, California. He has made significant contributions to the field of machine learning and natural language processing. With a total of 3 patents, his work focuses on recognizing entities and custom tagging based on word embeddings.

Latest Patents

One of his latest patents is titled "Recognizing entities based on word embeddings." This invention provides a non-transitory machine-readable medium that stores a program designed to receive a set of words. The program retrieves entries from a knowledge base and determines embeddings for these entries based on their text descriptions. It iteratively calculates confidence scores to identify entities represented by the words in the set.

Another significant patent is "Custom tags based on word embedding vector spaces." This invention also involves a non-transitory machine-readable medium that stores a program. The program receives multiple sets of words, each annotated as entities of the same custom type. It determines word embeddings for these annotated words and defines a region in the word embedding space. The program then assesses whether new word embeddings fall within this defined region to identify entities.

Career Highlights

Gokhuldass Mohandas is currently associated with Ciitizen Corporation, where he applies his expertise in machine learning and natural language processing. His innovative work has the potential to enhance how entities are recognized and categorized in various applications.

Collaborations

[This section has been skipped due to space constraints.]

Conclusion

Gokhuldass Mohandas is a pioneering inventor whose work in word embedding technologies is shaping the future of natural language processing. His contributions are valuable to the advancement of machine learning applications.