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A research unit of the University of Porto, from autonomous agents and robotics to machine learning, language and complex systems.

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Advancing artificial intelligence since 1988.

From robotic soccer to smarter cities.

We turn AI research into real applications — from championship-winning robotics to mobility, health, industry and public services.

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Part of LASI, Portugal's largest research lab.

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LIACC — the Artificial Intelligence and Computer Science Laboratory — is an R&D unit established in 1988, headquartered at FEUP with hubs at FCUP, UMaia, UFP and the University of the Azores.

It pursues research on Artificial Intelligence and Computer Science, and was in the core of the creation of LASI, the largest Associate Laboratory in Portugal.

( Artificial Intelligence transforming the future of technology )

Machine Learning

Advance supervised, unsupervised and reinforcement learning, with a focus on explainability, fairness and real-world MLOps.

Software Engineering

Create methods and tools that help developers improve the quality of how software is built and evolved.

Declarative Programming

Study the design, implementation and verification of logic and functional programming languages.

High-Performance Computing

Research parallel, distributed and heterogeneous computing to optimize resources for demanding, dynamic workloads.

Complex Systems

Model and manage the behaviour that emerges from interactions between intelligent, heterogeneous components and their environment.

Intelligent Simulation

Enrich simulation with AI across the whole project lifecycle, from agent-based modelling to digital twins and what-if analysis.

Intelligent Robotics

Develop state-of-the-art optimization and multi-robot coordination, proven in the FC Portugal RoboCup team.

Natural Language Processing

Build models that process and understand human language, from question answering to argument mining and machine translation.

researchers, one laboratory

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Projects

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This project develops software solutions to improve logistics, traceability, food preservation, and sustainability across the food supply chain, focusing on fruit, vegetables, chilled, and fresh packaged products. Funded by Portugal 2030 and recognized with the ITEA seal.

RETAILL

SIMSEA created a fish resource simulator for the Azorean Sea, supporting the identification of fishing zones and the analysis of regional fishing activity. The prototype was presented in the Azores.

SIMSEA

Leveraging state-of-the-art machine learning techniques and advanced computing resources, this initiative establishes a foundational neural language model for Portuguese, strengthening its presence and competitiveness in the digital age.

Albertina