IDiyas

For the Inventor, By the Inventor

Seattle, WA, United States of America

Srikrishna Sridhar

USPTO Granted Patents = 15 

Average Co-Inventor Count = 6.9

ph-index = 3

Forward Citations = 25(Granted Patents)


Company Filing History:

goldMedal15 out of 40,816 
 
Apple Inc.
 patents

Years Active: 2019-2024

where 'Filed Patents' based on already Granted Patents

15 patents (USPTO):
1. 11915460 - Machine learning assisted image prediction (2024-02-27),
2. 11907436 - Raise to speak (2024-02-20),
3. 11842460 - Burst image fusion and denoising using end-to-end deep neural networks (2023-12-12),
4. 11748655 - Classification of messages using learned rules (2023-09-05),
5. 11614922 - Integration of learning models into a software development system (2023-03-28),
6. 11580444 - Data visualization machine learning model performance (2023-02-14),
7. 11487364 - Raise to speak (2022-11-01),
8. 11386355 - Machine learning assisted image prediction (2022-07-12),
9. 11216431 - Providing a compact representation of tree structures (2022-01-04),
10. 11169616 - Raise to speak (2021-11-09),
11. 10928970 - User-interface for developing applications that apply machine learning (2021-02-23),
12. 10928918 - Raise to speak (2021-02-23),
13. 10871949 - Integration of learning models into a software development system (2020-12-22),
14. 10606566 - Integration of learning models into a software development system (2020-03-31),
15. 10310821 - Integration of learning models into a software development system (2019-06-04),

Title: Innovations of Srikrishna Sridhar

Introduction

Srikrishna Sridhar is a prominent inventor based in Seattle, WA. He has made significant contributions to the field of technology, particularly in machine learning and automated systems. With a total of 15 patents to his name, he continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Machine learning assisted image prediction." This invention involves a device that implements a system for providing predicted RGB images. It includes at least one processor configured to obtain an infrared image of a subject and a reference RGB image of the subject. The processor is further designed to provide these images to a machine learning model, which has been trained to output predicted RGB images based on the input data. The result is a predicted RGB image of the subject based on the model's output.

Another notable patent is "Raise to speak," which outlines systems and processes for operating an intelligent automated assistant. This process includes detecting input representing motion of an electronic device and sampling audio input with a microphone. Based on the audio input and motion detection, the system determines whether to initiate a virtual assistant session. This innovation enhances user interaction with electronic devices.

Career Highlights

Srikrishna Sridhar is currently employed at Apple Inc., where he continues to develop groundbreaking technologies. His work has significantly impacted the way users interact with devices and has contributed to advancements in machine learning applications.

Collaborations

Throughout his career, Srikrishna has collaborated with talented individuals such as Shawn R Scully and Shiwen Zhao. These partnerships have fostered a creative environment that encourages innovation and the development of new technologies.

Conclusion

Srikrishna Sridhar's contributions to technology through his patents and collaborations highlight his role as a leading inventor. His work continues to influence the fields of machine learning and automated systems, paving the way for future innovations.

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