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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Gilad Michael

USPTO Granted Patents = 16 

Average Co-Inventor Count = 3.3

ph-index = 3

Forward Citations = 19(Granted Patents)


Location History:

  • Tzur Yizhak, IL (2016 - 2020)
  • Sunnyvale, CA (US) (2020 - 2024)

Company Filing History:

goldMedal16 out of 54,664 
 
Intel Corporation
 patents

Years Active: 2016-2024

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16 patents (USPTO):Explore Patents
1. 11880763 - Partially-frozen neural networks for efficient computer vision systems (2024-01-23),
2. 11868892 - Partially-frozen neural networks for efficient computer vision systems (2024-01-09),
3. 11699217 - Generating gaze corrected images using bidirectionally trained network (2023-07-11),
4. 11625559 - Attenuating visual artifacts of image processing systems using adversarial networks on-the-fly (2023-04-11),
5. 11409986 - Trainable vision scaler (2022-08-09),
6. 11386293 - Training image signal processors using intermediate loss functions (2022-07-12),
7. 11302035 - Processing images using hybrid infinite impulse response (TTR) and finite impulse response (FIR) convolution block (2022-04-12),
8. 11024002 - Generating gaze corrected images using bidirectionally trained network (2021-06-01),
9. 10885384 - Local tone mapping to reduce bit depth of input images to high-level computer vision tasks (2021-01-05),
10. 10796200 - Training image signal processors using intermediate loss functions (2020-10-06),
11. 10755425 - Automatic tuning of image signal processors using reference images in image processing environments (2020-08-25),
12. 10296605 - Dictionary generation for example based image processing (2019-05-21),
13. 10210180 - Hybrid nearest neighbor search tree with hashing table (2019-02-19),
14. 9697796 - Adaptive linear luma domain video pipeline architecture (2017-07-04),
15. 9678749 - Instruction and logic for shift-sum multiplier (2017-06-13),

Title: Innovations of Gilad Michael

Introduction

Gilad Michael is a prominent inventor based in Sunnyvale, CA, known for his significant contributions to the field of computer vision and machine learning. With a total of 16 patents to his name, he has made remarkable strides in developing advanced technologies that enhance the efficiency of neural networks.

Latest Patents

One of Gilad Michael's latest patents is titled "Partially-frozen neural networks for efficient computer vision systems." This innovative apparatus facilitates the use of partially-frozen neural networks, which include a frozen core to store fixed weights of a machine learning model. The design incorporates one or more trainable cores coupled to the frozen core, featuring multipliers for trainable weights. Additionally, the alpha blending layer includes a trainable alpha blending parameter, which is a function of a trainable parameter, a sigmoid function, and outputs from both frozen and trainable blocks in a preceding layer of the machine learning model.

Career Highlights

Gilad Michael has established a successful career at Intel Corporation, where he continues to push the boundaries of technology. His work focuses on enhancing machine learning models, particularly in the realm of computer vision, making significant impacts in various applications.

Collaborations

Throughout his career, Gilad has collaborated with talented individuals such as Furkan Isikdogan and Chyuan-Tyng Wu. These collaborations have contributed to the advancement of his projects and the development of innovative solutions in the field.

Conclusion

Gilad Michael's contributions to the field of computer vision and machine learning through his patents and work at Intel Corporation highlight his role as a leading inventor. His innovative approaches continue to shape the future of technology and inspire further advancements in the industry.

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