Vancouver, Canada

Hamid Palangi


Average Co-Inventor Count = 5.8

ph-index = 1

Forward Citations = 14(Granted Patents)


Company Filing History:


Years Active: 2018-2024

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Hamid Palangi

Introduction

Hamid Palangi is a notable inventor based in Vancouver, Canada. He has made significant contributions to the field of technology, particularly in the areas of language processing and machine learning. With a total of 2 patents, Palangi's work has garnered attention for its innovative approaches to complex problems.

Latest Patents

Palangi's latest patents include "Adversarial language imitation with constrained exemplars" and "Semantically-relevant discovery of solutions." The first patent discusses devices, systems, and methods for generating phrases that can confuse language classifiers. This method involves determining classification scores for prompts and likely next words, ultimately selecting a word based on respective scores. The second patent focuses on providing semantically-relevant discovery of solutions through a computing device that processes input queries to determine semantic representations. Techniques such as machine learning, recurrent neural networks (RNN), and long short-term memory (LSTM) cells are employed to enhance the accuracy of responses.

Career Highlights

Hamid Palangi is currently associated with Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technology. His work has been instrumental in advancing the capabilities of language models and their applications in various fields.

Collaborations

Palangi has collaborated with esteemed colleagues, including Xiaodong He and Jianfeng Gao. These partnerships have contributed to the development of innovative solutions and have furthered research in the field of artificial intelligence.

Conclusion

Hamid Palangi's contributions to technology and innovation are noteworthy. His patents reflect a deep understanding of language processing and machine learning, showcasing his ability to address complex challenges in the field. His work continues to inspire advancements in technology and artificial intelligence.

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