Company Filing History:

7 out of 7

Shallow.ai Inc.

patents

Years Active: 2009-2021

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17 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11126826 - Machine learning system and method for recognizing facial images (2021-09-21),

2. 10924568 - Machine learning system for networking (2021-02-16),

3. 10747831 - System and method for machine learning system initialization (2020-08-18),

4. 10740427 - System and method to eliminate uncorrelated data (2020-08-11),

5. 10733249 - Machine learning system for data selection (2020-08-04),

6. 10726087 - Machine learning system and method to identify and connect like-minded users (2020-07-28),

7. 10719890 - Machine learning system and method for clustering (2020-07-21),

8. 9424372 - System and method for data path handling, shot count minimization, and proximity effects correction related to mask writing process (2016-08-23),

9. 9280631 - Performing OPC on hardware or software platforms with GPU (2016-03-08),

10. 8990280 - Configurable system for performing repetitive actions (2015-03-24),

11. 8938696 - Techniques of optical proximity correction using GPU (2015-01-20),

12. 8731694 - Portable device with freefall detection or audio processing subsystem and freefall detection or audio processing method (2014-05-20),

13. 8615723 - Performing OPC on hardware or software platforms with GPU (2013-12-24),

14. 8490034 - Techniques of optical proximity correction using GPU (2013-07-16),

15. 8255841 - Performing OPC on hardware or software platforms with GPU (2012-08-28),

Title: Ahmet Karakas: Innovator in Machine Learning and Networking Technologies

Introduction

Ahmet Karakas is a prominent inventor based in Palo Alto, California, known for his significant contributions to the fields of machine learning and networking technologies. With a total of 17 patents to his name, he has developed innovative systems that enhance the way we interact with technology and each other.

Latest Patents

Among his latest patents is a machine learning system and method for recognizing facial images. This advanced system extracts features from images and predicts various attributes such as appearance type, attractiveness, gender, or ethnicity from a facial image. The machine learning approach involves training predictors using known data sets that classify facial images into desired categories. When a new image is presented, the system applies this information to make accurate predictions. Additionally, the training process can be continuously updated as the system encounters new images and receives corrective feedback. Another notable patent is a machine learning system for networking, which provides a platform for connecting individuals based on shared professional interests.

Career Highlights

Ahmet has worked with several innovative companies, including Shallow.ai Inc. and Gauda, Inc. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking projects in the tech industry.

Collaborations

Throughout his career, Ahmet has collaborated with talented individuals such as Ilhami H Torunoglu and Erich Elsen. These partnerships have played a crucial role in the development of his innovative technologies.

Conclusion

Ahmet Karakas stands out as a leading inventor in the realm of machine learning and networking technologies. His patents reflect a commitment to advancing technology and improving human interaction through innovative solutions.

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Inventor’s Patent Attorneys refers to legal professionals with specialized expertise in representing inventors throughout the patent process. These attorneys assist inventors in navigating the complexities of patent law, including filing patent applications, conducting patent searches, and protecting intellectual property rights. They play a crucial role in helping inventors secure patents for their innovative creations.