Awelon AI presents EVE ARC in Berlin.
Selected into the European cohort presenting under the Important Project of Common European Interest on Artificial Intelligence — the European framework for sovereign foundational AI capability.
Selected into the European cohort presenting under the Important Project of Common European Interest on Artificial Intelligence — the European framework for sovereign foundational AI capability.
The IPCEI-AI framework is the European Union's coordinated mechanism for funding foundational artificial intelligence capability that the bloc considers too strategic to be left to single-vendor dependency. Selection into the cohort presenting in Berlin is, in the framework's own language, recognition of work judged to be of common European interest.
Awelon AI's contribution — EVE ARC — is a foundation system for cognitive architecture, designed around the position that general intelligence is not a matter of scale alone but of the right substrate-level structures. It is the line of work that has occupied the laboratory for the past several years.
Further technical writeups and the public roadmap will follow in the coming months.
Children can learn the existing methods. Or learn from the researchers rewriting them.
Awelon AI is launching a structured workshop programme for children and teens — built around AI literacy, awareness of the genuine risks emerging systems present, and the practical skills the next decade will require of them.
Not a coding bootcamp. Not an enthusiast pitch. A serious, age-appropriate engagement with the technology shaping their lives: how these systems actually work, where they fail, what they cannot be trusted with, and what literacy means in an environment where machine-generated content is the default.
All sessions are led by Awelon AI's lead researchers — the people actively rewriting the methods, not teaching the ones already taught. Small-cohort, in-person, built for genuine engagement rather than scale.
Workshop sessions are led by Awelon AI's senior research team — the people working directly on EVE ARC and contributing to the laboratory's IPCEI-AI submission. Active researchers in cognitive architectures and the foundations of general-purpose machine reasoning.
Every session is taught by working researchers — not by external partners, not by training-credential assistants. The premise is direct: children should learn from the people redefining the field, not from those teaching its existing methods.