Kawasaki, Japan

Arseny Tolmachev

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Fujitsu Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Arseny Tolmachev. Retrieved from https://idiyas.com/inventor/arseny-tolmachev

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Arseny Tolmachev: Inventor in Machine Learning

Introduction

Arseny Tolmachev is an inventor associated with Kawasaki, Japan, and Fujitsu Corporation. His patent work includes an invention related to machine learning and tensor-form data.

Latest Patents

Tolmachev is credited with 1 patent: “Recording medium, machine learning method, and machine learning device.” The invention describes a machine-learning process that identifies axes in tensor-form data according to whether their elements are represented by one-hot vectors. It calculates a core tensor through intermediate tensors, using concatenation for one axis and a mode product for another, then uses the core tensor as input to train a machine-learning model.

Career Highlights

Tolmachev’s listed patent connects his work with machine-learning methods and devices. He is associated with Fujitsu Corporation, a company involved in technology and research.

Collaborations

Masaru Todoriki is identified as Tolmachev’s coworker. The available information does not specify their particular projects or contributions together.

Conclusion

Arseny Tolmachev’s recorded invention focuses on processing tensor-form data for machine learning, reflecting his patent activity and professional association with Fujitsu Corporation.

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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