Turin, Italy

Gianluca Francini

This inventor holds 21 USPTO granted patents and 1 published patent application, plus 2 CIPO patents and 16 EPO patents, primarily in Image Analysis. Top assignees: Telecom Italia, Telecom Italia Lab S.p.a.. Active years: 2003-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Gianluca Francini. Retrieved from https://idiyas.com/inventor/gianluca-francini

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

USPTO Granted Patents = 21 

% Patents Active = 90.5


 

Average Co-Inventor Count = 3.1

ph-index = 4

Forward Citations = 106(Granted Patents)


Location History:

  • Torino, IT (2016)
  • Turin, IT (2003 - 2023)

Company Filing History:


Years Active: 2003-2026

Loading Chart...
Loading Chart...
Loading Chart...
Areas of Expertise:
Cellular Communication
SON Functionality
Neural Networks
Convolutional Neural Networks
Image Analysis
Target Identification
Video Comparison
Keypoint Identification
Content Recommendation
3D Facial Models
Stereo Vision
Digital Terrain Models
21 patents (USPTO):Explore Patents

Title: **Innovative Mind: Gianluca Francini and His Contributions to Neural Networks**

Introduction

Gianluca Francini, an accomplished innovator based in Turin, Italy, has made significant strides in the field of artificial intelligence. With a remarkable portfolio of 20 patents, he has pioneered advancements in neural network technologies, focusing on enhancing efficiency and functionality. His work continues to influence various applications in the tech industry.

Latest Patents

Among Gianluca's latest patents are groundbreaking methods for neural networks, characterized by their reduced number of parameters. One notable patent details a method whereby a neural network is designed to receive input data structures to produce corresponding output arrays based on a set of weights. The training process employs a gradient descent algorithm, incorporating a unique cost function with both a loss term and a regularization term that addresses the rate of change in the output array from weight variations.

Additionally, Gianluca has contributed to the field of convolutional neural networks, specifically tailored for image analysis. This patent describes a convolutional neural network configured to classify input data by generating output indicative of predefined classes. The network comprises an ordered sequence of layers that facilitate complex classification tasks through the convolution of input values, optimizing the processing of signal samples.

Career Highlights

Gianluca’s professional journey includes significant roles at Telecom Italia S.p.a. and Telecom Italia Lab S.p.a. His contributions in these organizations have been instrumental in the development of cutting-edge technologies in telecommunications and data processing. Through his innovative work, he has carved a niche in the competitive landscape of AI and telecommunications.

Collaborations

Throughout his career, Gianluca has collaborated with notable professionals like Skjalg Lepsoy and Massimo Balestri. These partnerships have fostered a creative environment that merges diverse expertise, enabling the successful development of advanced neural network applications. Working alongside such talented individuals highlights his commitment to collaboration in driving innovation forward.

Conclusion

Gianluca Francini's impressive contributions to the field of artificial intelligence and his extensive patent portfolio underscore his role as a leading innovator. His research, particularly in neural networks and image analysis, continues to open new avenues for technological advancements. As the digital landscape evolves, Gianluca’s work remains a critical component in shaping the future of AI applications.

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]
Loading…