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For the Inventor, By the Inventor

Kalkara, Malta

Mauro Pirrone

This inventor holds 24 USPTO granted patents and 4 published patent applications. Top assignee: Umnai Limited. Active years: 2021-2026.

USPTO Granted Patents = 24 

% Patents Active = 95.8

Average Co-Inventor Count = 2.5

ph-index = 3

Forward Citations = 50(Granted Patents)


Company Filing History:

goldMedal24 out of 24 
 
Umnai Limited
 patents

Years Active: 2021-2026

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24 patents (USPTO):Explore Patents
1. 12682238 - Behaviour modeling, verification, and autonomous actions and triggers of ML and AI systems (2026-07-14),
2. 12579428 - Method for injecting human knowledge into AI models (2026-03-17),
3. 12488242 - Method for an explainable autoencoder and an explainable generative adversarial network (2025-12-02),
4. 12367407 - Behavioral prediction and boundary settings, control and safety assurance of ML and AI systems (2025-07-22),
5. 12182708 - Automatic XAI (AutoXAI) with evolutionary NAS techniques and model discovery and refinement (2024-12-31),
6. 11948083 - Method for an explainable autoencoder and an explainable generative adversarial network (2024-04-02),
7. 11900236 - Interpretable neural network (2024-02-13),
8. 11886986 - Architecture for a hardware based explainable neural network (2024-01-30),
9. 11816587 - Explainable neural net architecture for multidimensional data (2023-11-14),
10. 11797835 - Explainable transducer transformers (2023-10-24),
11. 11715007 - Behaviour modeling, verification, and autonomous actions and triggers of ML and AI systems (2023-08-01),
12. 11651216 - Automatic XAI (autoXAI) with evolutionary NAS techniques and model discovery and refinement (2023-05-16),
13. 11593631 - Explainable transducer transformers (2023-02-28),
14. 11468350 - Behavioral prediction and boundary settings, control and safety assurance of ML and AI systems (2022-10-11),
15. 11468308 - Architecture for a hardware based explainable neural network (2022-10-11),

Title: Innovations and Patents of Mauro Pirrone

Introduction

Mauro Pirrone, a distinguished inventor based in Kalkara, Malta, has made significant contributions to the field of machine learning and artificial intelligence, holding an impressive 20 patents. His innovative work focuses on developing explainable artificial intelligence (XAI) solutions that enhance the transparency and interpretability of complex models.

Latest Patents

Among Mauro Pirrone's latest patents are noteworthy inventions concerning automated XAI methodologies. One prominent patent details an Automatic XAI (AutoXAI) system utilizing evolutionary neural architecture search (NAS) techniques for model discovery and refinement. This exemplary model search approach can yield optimal explainable models derived from specific datasets. The method includes identifying features within a training dataset and mapping associated costs to these features, followed by the iterative optimization of candidate models based on defined objectives and constraints.

In addition, he developed a patent for an explainable autoencoder and an explainable generative adversarial network. This invention provides functionality for an autoencoder that can elucidate the impact of each input feature on the resulting output, effectively compressing data representations. Furthermore, this explainable generative adversarial network integrates capabilities for generation, simulation, and discrimination, underpinned by interpretable neural network architectures, ensuring that the models remain fully explainable to end-users.

Career Highlights

Mauro Pirrone is currently employed at Umnai Limited, a company that focuses on advancing artificial intelligence technologies. His work has positioned him as a leader in the field of explainable AI, advancing the conversation around transparency in machine learning and ensuring that complex systems can be understood by both experts and non-experts alike.

Collaborations

Throughout his career, Mauro has collaborated with esteemed colleagues such as Angelo Dalli and Matthew Grech. These partnerships have been instrumental in facilitating innovative approaches and enhancing the development of explainable AI solutions.

Conclusion

Mauro Pirrone represents a pioneering force in the realm of artificial intelligence, utilizing his extensive patent portfolio to drive advancements in explainable systems. His continued efforts at Umnai Limited, alongside talented collaborators, promise to shape the future of machine learning by making AI technologies more interpretable and accessible to a broader audience.

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