New York, NY, United States of America

Satyen Chandrakant Kale

USPTO Granted Patents = 8 

Average Co-Inventor Count = 4.2

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2015-2025

Loading Chart...
8 patents (USPTO):

Title: Satyen Chandrakant Kale: Innovator in Adaptive Optimization

Introduction

Satyen Chandrakant Kale is a prominent inventor based in New York, NY, known for his contributions to the field of adaptive optimization. With a total of eight patents to his name, he has made significant strides in improving the convergence properties of optimization techniques, particularly in machine learning applications.

Latest Patents

Among his latest patents, one notable invention is focused on "Controlled Adaptive Optimization." This patent describes systems and methods that enhance adaptive optimization with improved convergence properties. The techniques outlined are particularly useful in various optimization scenarios, including the training of machine-learned models such as neural networks. The system implementing this technique can utilize an adaptive effective learning rate over multiple iterations while ensuring that the effective learning rate remains non-increasing. Another significant patent is titled "Adaptive Optimization with Improved Convergence," which similarly addresses systems and methods for adaptive optimization, emphasizing the importance of a non-increasing learning rate during the training process.

Career Highlights

Satyen has worked with leading technology companies, including Google Inc. and Oath Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking innovations in the field of machine learning and optimization.

Collaborations

Throughout his career, Satyen has collaborated with notable professionals, including Sanjiv Kumar and Sashank Jakkam Reddi. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Satyen Chandrakant Kale is a distinguished inventor whose work in adaptive optimization has paved the way for advancements in machine learning. His patents reflect a commitment to improving the efficiency and effectiveness of optimization techniques, making him a valuable contributor to the field.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…