San Jose, CA, United States of America

Rohit Gangrade

This inventor holds 1 USPTO granted patent. Top assignee: Apple Inc.. Active years: 2025.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Rohit Gangrade: Innovator in Machine Learning Circuitry

Introduction

Rohit Gangrade is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of machine learning circuitry, particularly in power state prediction technologies. His innovative approach has the potential to enhance the efficiency of processor operations.

Latest Patents

Rohit holds a patent for "Power state prediction using machine learning circuitry." This patent discloses techniques for performing corrective actions in response to detected conditions. The invention involves clock circuitry that provides a clock signal to processor circuitry. Additionally, power monitor circuitry generates activity information based on the operation of different portions of the processor. The machine learning circuitry predicts future power states based on this activity information. Control circuitry then adjusts the clock frequency based on the predicted power states, optimizing processor performance.

Career Highlights

Rohit is currently employed at Apple Inc., where he continues to develop innovative technologies. His work focuses on improving the efficiency and performance of electronic devices through advanced machine learning techniques. With a patent portfolio that includes 1 patent, he is recognized for his contributions to the field.

Collaborations

Rohit collaborates with talented individuals such as Safwat Mostafa Noor and Angel E Socarras. These partnerships foster a creative environment that drives innovation and technological advancement.

Conclusion

Rohit Gangrade is a notable inventor whose work in machine learning circuitry is paving the way for more efficient electronic devices. His patent on power state prediction showcases his commitment to innovation and excellence in technology.

Profile summary based on public USPTO records.
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