# Angelo Dalli

Angelo Dalli (born 14 April 1978) is a Maltese computer scientist, serial entrepreneur, and angel investor specializing in artificial intelligence, known for founding UMNAI and Traffiko, and for leading Malta's national AI strategy.

Angelo Dalli (born 14 April 1978) is a Maltese computer scientist specialising in artificial intelligence, a serial entrepreneur, and a business angel investor. He is known for founding the trustworthy AI company UMNAI, for leading the development of Malta's national AI strategy and regulation, and for his earlier ventures in intelligent transport and AI-driven gaming. Dalli has also contributed to academic research in natural language processing and bioinformatics.

Born in Malta and raised in the town of Birżebbuġa, Dalli showed an early aptitude for computing and competition. He represented Malta at international informatics olympiads, winning a bronze medal, and began selling software as a teenager. His career spans academia, government advisory, and multiple technology startups, with a consistent focus on applying AI in practical, socially responsible ways.

## Early life and education

Dalli was born on 14 April 1978 in Malta and grew up in Birżebbuġa, a seaside town in the south of the island. He attended the Archbishop's Seminary, a secondary school in Malta, where his interest in science and computing developed. In 1994, he represented Malta at the Young European Environmental Research contest held in Cologne, Germany, an early sign of his engagement with scientific and technological challenges.

The following year, Dalli represented Malta at the International Olympiad in Informatics (IOI) held in Eindhoven, Netherlands, where he won a bronze medal. This achievement marked the beginning of a long association with the IOI; he later led the Maltese national informatics team at the IOI 2002 in Seoul, South Korea, and at the IOI 2004 in Athens, Greece. As a teenager, Dalli also began selling computer software and worked as a freelance contributor for PC World magazine through the International Data Group.

Dalli pursued higher education at the University of Malta, graduating before moving to the United Kingdom for doctoral studies. He read for a PhD at the University of Sheffield under the supervision of Yorick Wilks, a prominent figure in artificial intelligence and natural language processing. During his time in academia, Dalli lectured on AI and natural language processing, and he has published over 23 peer-reviewed papers in these fields.

## Academic contributions

Dalli's research has spanned several areas of computer science, with notable contributions to natural language processing and bioinformatics. One of his earliest and most influential works involved the development of methods for timestamp extraction from documents, a technique that has since become common in email applications and other text-processing software. This work addressed the challenge of automatically identifying and normalising temporal expressions in unstructured text, a problem that remains relevant in modern information retrieval systems.

In the field of bioinformatics, Dalli identified integer sequences that are now catalogued in the On-Line Encyclopedia of Integer Sequences (OEIS). Specifically, sequence A062208 efficiently computes all alignments of strings of length 3, while sequences A062204 and A062205 provide generalisations applicable to natural language and sequence alignment. These contributions have practical applications in computational biology and text processing, where efficient string alignment is a fundamental operation.

Dalli also contributed to the encoding of European languages in Unicode, particularly through work on the Common Locale Data Repository (CLDR), which provides locale-specific data for software internationalisation. His academic network is reflected in his Erdős number of 3, indicating collaboration with mathematicians in the co-authorship graph centred on Paul Erdős.

## Trustworthy AI and UMNAI

In 2019, Dalli co-founded UMNAI, a company aimed at developing a new form of trustworthy AI that can explain its decisions and the steps it takes to produce an answer. The company's approach is based on a neurosymbolic AI architecture that combines neural networks with symbolic reasoning, aiming to make AI systems auditable and certain in their outputs. This work addresses a growing concern in the AI community about the "black box" nature of deep learning models, where decisions are often opaque even to their developers.

UMNAI's technology is designed to provide explanations for AI decisions, a feature that is increasingly important in regulated industries such as finance, healthcare, and law. The company's architecture integrates components from [machine-learning](https://www.wikiprompt.org/wiki/machine-learning) and [neural-network](https://www.wikiprompt.org/wiki/neural-network) research with symbolic AI techniques, allowing for both learning from data and reasoning over explicit rules. In 2022, UMNAI received the WIPO IP Enterprise Award for its neuro-symbolic AI architecture, recognising the innovative nature of the intellectual property.

Dalli has been a vocal proponent of trustworthy AI that impacts society positively, arguing that AI should be properly regulated to ensure safety and fairness. He has participated in policy discussions and has been an active member of professional organisations including the IEEE, AAAI, ACM, and the ACL, where he contributes to debates on AI ethics and governance.

## AI and society

Dalli played a key role in shaping Malta's approach to AI regulation and strategy. He led the Government of Malta taskforce that produced the country's national AI strategy and AI regulation framework. This work positioned Malta as one of the early adopters of a comprehensive national policy for AI, addressing issues such as ethics, data protection, and the promotion of AI innovation. The strategy aimed to balance the economic benefits of AI with safeguards for citizens' rights, a model that has been studied by other small nations.

Beyond government work, Dalli has been involved in the broader AI ecosystem through speaking engagements and public events. He has encouraged the growth of Maltese startups through conferences such as Zest and Budding Rockstars, and he co-founded BAM, the Malta Business Angel network, in 2019. As a member of EBAN (European Business Angel Network) and a senator of the World Business Angel Forum, he has promoted angel investing as a way to support early-stage technology companies.

## AI in transport

Before focusing on trustworthy AI, Dalli applied machine learning to intelligent transport systems (ITS). He led the introduction of various machine learning techniques for parking management, controlled vehicle access zones, and dynamic traffic interchange control. These systems used data from sensors and cameras to optimise traffic flow, reduce congestion, and improve urban mobility.

His intelligent transport company, Traffiko, operated in Europe, Australia, and the Middle East, providing ITS solutions to cities and private operators. In 2015, Traffiko was sold to Q-Free, a Norwegian company specialising in transport technology. The acquisition allowed Q-Free to expand its portfolio with Traffiko's AI-driven traffic management tools, which had been deployed in several urban environments.

## AI in gaming

Dalli was an early pioneer in applying artificial intelligence to the online gambling industry. He set up Bit8, one of the first companies to use AI in this sector, with a focus on algorithms that estimate and maximise player lifetime value and personalised bonusing systems. These techniques used [machine-learning](https://www.wikiprompt.org/wiki/machine-learning) models to analyse player behaviour, predict future engagement, and tailor promotions to individual users, a practice that has since become widespread in the industry.

Bit8's innovations were recognised with several awards, including the EGR Rising Star Award in 2014, the Malta Communication Authority eBusiness Award for Best B2B application in 2015, and the Malta iGaming Award for Excellence in 2017. In 2017, Bit8 was acquired by Intralot, a major gaming technology company, which integrated Bit8's AI capabilities into its broader product offerings. Dalli has remained a well-known speaker in the online gambling industry, discussing the role of AI in player engagement and responsible gaming.

## AI and creativity

Dalli has also explored the intersection of AI and creativity, collaborating with artists to teach AI about artistic expression. This work led to the creation of UMA, short for Universal Machine Artist, an AI entity designed to produce original artwork. UMA uses a modified [generative-ai](https://www.wikiprompt.org/wiki/generative-ai) architecture, specifically a generative adversarial network (GAN) with a third component: the human artist. This human-in-the-loop approach produces different learning results than standard generative models, as the artist's input influences the training process.

The underlying discriminator in UMA originated from an anti-fraud detection system, which was gradually evolved to incorporate stable diffusion and procedural generation methods. This hybrid approach allows UMA to create artworks that blend learned patterns with algorithmic generation. The first two artworks generated by UMA were auctioned in October and November 2018, with all proceeds donated to charity.

Dalli has continued to develop UMA and collaborate with other artists. Notable exhibitions include "Tomorrow's Blossoms" with Selina Scerri at Esplora Museum in 2024, which explored the theme of AI and emotions. He also co-founded the Creative Science and Arts Institute to provide a foundation for future research into AI, science, technology, and creativity, aiming to bridge the gap between technical innovation and artistic practice.

## Awards and honours

Dalli has received recognition for both his entrepreneurial and scientific work. His early achievement in the International Olympiad in Informatics earned him a bronze medal in 1995. He was awarded the Malta Top Entrepreneur Award twice, in 2014 and 2019, reflecting his success in building and scaling technology companies. In 2022, UMNAI received the WIPO IP Enterprise Award for its neuro-symbolic AI architecture, highlighting the company's innovative approach to explainable AI.

In the corporate sector, his company Bit8 received multiple awards while under his leadership, including the EGR Rising Star Award (2014), the Malta Communication Authority eBusiness Award for Best B2B application (2015), and the Malta iGaming Award for Excellence (2017). These accolades underscore the impact of his work in applying AI to commercial domains, from transport to gaming to enterprise software.

Throughout his career, Dalli has combined academic research with entrepreneurial ventures, consistently focusing on the practical application of AI in ways that benefit society. His work on trustworthy AI, national strategy, and creative AI positions him as a notable figure in the European AI landscape, with contributions that span technology, policy, and the arts.

## External links

- [Wikipedia: Angelo Dalli](https://en.wikipedia.org/wiki/Angelo_Dalli)

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Source: https://www.wikiprompt.org/wiki/angelo-dalli
License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Last updated: 2026-10-10T05:58:43.235012+00:00