Kiryat Haim, Israel

Jacob Subag

This inventor holds 26 USPTO granted patents and 10 published patent applications and 2 EPO patents, primarily in Machine Learning. Top assignee: Intel Corporation. Active years: 2015-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jacob Subag. Retrieved from https://idiyas.com/inventor/jacob-subag

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 26 

% Patents Active = 88.5

 

Average Co-Inventor Count = 8.2

ph-index = 4

Forward Citations = 42(Granted Patents)


Location History:

  • Haifa, IL (2020)
  • Kiryat Haim, IL (2015 - 2024)

Company Filing History:


Years Active: 2015-2026

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Areas of Expertise:
Data Management
Deep Learning
Matrix Compression
GPU Implementation
Context Dependent Learning
Memory Handling
Pixel Shading
Graphics Rendering
Data Gating
Layer Representation
Dynamic Selection
Polygon Rasterization
26 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Jacob Subag

Introduction

Jacob Subag, a prominent inventor based in Kiryat Haim, Israel, has made significant contributions to the field of technology, holding an impressive total of 25 patents. His work primarily focuses on advancements in neural networks and data compression methods, highlighting his role as a key figure in the development of innovative solutions.

Latest Patents

Among Jacob Subag's latest patents is a groundbreaking invention titled "Real-time Context Dependent Deep Learning." This patent describes an apparatus comprising a plurality of execution units that utilize both hardware logic and logic frameworks to train neural networks. The unique feature of this invention lies in its ability to receive multiple data inputs, represent them in distinct forms, and process weight inputs effectively to enhance the training of neural networks.

Another notable patent is his work on "Low Rank Matrix Compression." This invention outlines an apparatus with integrated logic to implement a lossy compression algorithm that employs a data transform and quantization process specifically designed for compressing data within a convolutional neural network (CNN) layer. Both embodiments are aimed at optimizing performance and resource efficiency in machine learning applications.

Career Highlights

Jacob Subag has developed a reputation as a leading inventor at Intel Corporation, where he has dedicated his expertise to pushing the boundaries of technology. His innovative solutions have not only contributed to the advancement of artificial intelligence but have also positioned him as an essential part of the tech community.

Collaborations

During his career, Jacob has collaborated with esteemed colleagues, including Lev Faivishevsky and Tomer Bar-On. Together, they work on pioneering projects that aim to take full advantage of the latest research in artificial intelligence and technology, significantly impacting the industry.

Conclusion

Jacob Subag's journey as an inventor reflects his commitment to innovation and technological advancement. With numerous patents to his name and significant contributions to major projects, he continues to influence the future of neural networks and data processing methods, inspiring the next generation of inventors in the technology sector.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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