Tel Aviv-Jaffa, Israel

Ran Bakalo

This inventor holds 1 USPTO granted patent. Top assignee: Autobrains Technologies Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ran Bakalo. Retrieved from https://idiyas.com/inventor/ran-bakalo-1szcthrw

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Ran Bakalo

Introduction

Ran Bakalo is a notable inventor based in Tel Aviv-Jaffa, Israel. He has made significant contributions to the field of technology, particularly in the area of signature generation for autonomous driving systems. His work exemplifies the intersection of artificial intelligence and practical applications in modern vehicles.

Latest Patents

Ran Bakalo holds a patent for a method of signature generation. This computer-implemented method involves receiving readout information from a signature generator, which is derived from a deep neural network (DNN). The processed sensed information unit (SIU) consists of elements located within a bounding shape that has a desired receptive field, along with padding SIU elements. The signature generator utilizes this readout information to create a signature of the processed SIU, which is intended for use in at least partially autonomous driving of a vehicle. He has 1 patent to his name.

Career Highlights

Ran Bakalo is currently associated with Autobrains Technologies Ltd., a company focused on advancing autonomous driving technologies. His role at the company allows him to apply his innovative ideas and contribute to the development of cutting-edge solutions in the automotive industry.

Collaborations

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Conclusion

Ran Bakalo's work in signature generation showcases his innovative spirit and dedication to enhancing autonomous driving technologies. His contributions are paving the way for safer and more efficient driving experiences in the future.

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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