Gif sur Yvette, France

Inna Kucher

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Commissariat a L'energie Atomique Et Aux Energies Alternatives. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Inna Kucher. Retrieved from https://idiyas.com/inventor/inna-kucher

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


% Patents Active = 100.0


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Inna Kucher and Her Neural Network Training Patent.

Introduction

Inna Kucher is an inventor based in Gif-sur-Yvette, France. Her patent concerns a computer-implemented method for training synaptic weight values in an artificial neural network.

Latest Patents

Kucher is associated with 1 patent: “Method for Learning Synaptic Weight Values of a Neural Network, Related Data Processing Method, Computer Program, Calculator and Processing System.” The invention trains weight values using training data, with each trained weight selected from a set of quantized values. Those values are encoded using a predefined number of bits, and the quantization step between successive values follows a specified condition.

Career Highlights

Kucher’s listed company is the French Alternative Energies and Atomic Energy Commission (Commissariat à l’énergie atomique et aux énergies alternatives). Her patent focuses on quantized neural network weights and related data-processing implementations.

Collaborations

David Briand and Olivier Bichler are identified as Kucher’s coworkers.

Conclusion

Inna Kucher’s patent documents work on a computer-implemented approach to training quantized synaptic weights for artificial neural networks.

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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