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For the Inventor, By the Inventor

Floriana, Malta

Angelo Dalli

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: Innovator Spotlight: Angelo Dalli

Introduction

Angelo Dalli, based in Floriana, Malta, is a prominent inventor with a remarkable portfolio of 20 patents. His innovative work primarily revolves around enhancing machine learning technologies, particularly in making these systems more explainable and efficient. This article explores his latest patents, career highlights, and collaborations with other talented individuals in the field.

Latest Patents

Dalli's recent patents showcase his expertise in explainable artificial intelligence. One of his notable inventions is the "Automatic XAI (AutoXAI) with Evolutionary NAS Techniques and Model Discovery and Refinement." This invention focuses on optimizing model search to generate explainable models based on datasets. It addresses feature identification from training datasets, mapping feature costs to specific features, and using an external optimizer to quantify the fitness level of seed candidates.

Another significant patent includes a "Method for an Explainable Autoencoder and an Explainable Generative Adversarial Network." This technology introduces an explainable autoencoder capable of detailing the contribution of each input feature to the system's output. Additionally, the explainable generative adversarial network developed by Dalli enhances generator, simulator, and discriminator functionalities while maintaining a fully explainable machine learning system architecture.

Career Highlights

Angelo Dalli is a key figure at Umnai Limited, where he applies his innovative skills to push the boundaries of artificial intelligence technology. His extensive experience and research have made significant contributions to his field, positioning him as an expert in creating systems that prioritize transparency and efficiency in machine learning.

Collaborations

In addition to his work at Umnai Limited, Dalli collaborates with talented colleagues such as Mauro Pirrone and Matthew Grech. Together, they share a vision for advancing technology that is not only powerful but also accessible and understandable to users.

Conclusion

With a remarkable body of work and a commitment to innovation, Angelo Dalli is paving the way for future developments in explainable artificial intelligence. His contributions reflect a growing need for transparency in machine learning systems, making technology more comprehensible for all users. As Dalli continues to innovate, the impact of his work will undoubtedly influence the next generation of AI solutions.

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