CEREBRA-AI: A unified framework for continual, explainable and embodied General-Purpose Artificial Intelligence
CEREBRA-AI will deliver a sovereign, trustworthy-by-design general-purpose AI platform built around four technical pillars.
- a hybrid neuro-symbolic reasoning core enables verifiable multi-step inference.
- a continual-learning orchestrator composes specialist models, detects drift, and balances accuracy, latency, and energy consumption. In other words, this will continuously improve on one single model.
- an embodied and relational interface grounds knowledge through direct interaction with robots and high-fidelity digital twins.
- a transversal trust framework embeds explainability, provenance, fairness auditing, uncertainty handling, and AI Act–aligned compliance. Simula will especially contribute to the explainability of the model and the verification and benchmarking of its reasoning capabilities related to the EU AI Act. Helge Spieker from the VIAS department will lead Simula’s involvement.
The architecture is operationalised via an integration substrate that connects to European data spaces, orchestrates retrieval-augmented and agentic workflows, and provides conformity tooling for interoperable, evidence-backed deployments from edge to cloud. Impact will be demonstrated across sectoral pilots in healthcare, mobility, energy, environment, and manufacturing, targeting ≥ 20% performance gains while maturing assets to TRL-5. The project commits to open assets, open-access publications, and large-scale training, with deposits on the AI-on-Demand platform and sustained engagement with European ecosystems and standards bodies to drive global uptake.
By coupling reasoning, lifelong adaptation, embodiment, and built-in compliance in a single EU-aligned stack, CEREBRA-AI advances the state of the art and strengthens Europe’s digital autonomy with a practical, auditable path to trustworthy General-Purpose AI (GPAI).
Funding
This project is funded by the Horizon Europe programme under Call HORIZON-CL4-2025-04-DIGITAL-EMERGING-07.
It is a Research & Innovation Action (RIA).
Disclaimer: Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the Granting authority can be held responsible for them.
All partners
- NEURALIO AI IKE, coordinator (Greece)
- Simula Research Laboratory (Norway)
- EXPERT.AI S.P.A. (Italy)
- Ceske Centrum Pro Vedu a Spolecnost (Czech Republic)
- Medoid AI Idiotiki Kefalaiouchiki Etairia (Greece)
- Akkodis I&S SAS (France)
- Fundacion Socialinnolabs (Spain)
- Institut De Recherche Technologique System X (France)
- Atlantis Engineering AE (Greece)
- Enora Innovation Etaireia Psifiakon Texnologion (Greece)
- Engineering - Ingegneria Informatica SPA (Italy)
- Sintef AS (Norway)
- Universidad Politecnica De Madrid (Spain)
- Scaleapp PC (Greece)
- Asplan Viak AS (Norway)
- Eratosthenes Centre of Excellence (Cyprus)
- Netcompany S.A. (Luxembourg)
- Universitetet I Oslo (Norway)
- Fciencias.ID - Associacao Para A Investigacao E Desenvolvimento De Ciencias (Portugal)
- Faculdade De Ciencias Da Universidade De Lisboa (Portugal)
- Universidad De Granada (Spain)
- Universität Mannheim (Germany)
- Università Degli Studi Di Bari Aldo Moro (Italy)
- Abo Akademi (Finland)
- Atomium Knowledge Consulting (Bulgaria)
- Ville de Paris (France)
- Meteorologisk Institutt (Norway)
- ooBann Business Advisory (Greece)
- City St. Georges University of London (UK)
- Chilton Computing Limited (UK)
- OST - Ostschweizer Fachhochschule (Switzerland)
- Switzerland Innovation Park Biel/Bienne (Switzerland)