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Stay up to date with our latest news, projects, and events.
⚙️ The real challenge in AI for engineering isn’t model size, it’s relevance.
A model that integrates the underlying physics will generalize well, even with limited data. A purely correlative model, on the other hand, needs large datasets to compensate for what it doesn’t understand. That’s why we design neural networks that are parsimonious by construction: they adapt to the structure of the problem rather than just fitting the data. 🔎 The result: lighter, more interpretable, and more robust predictive models, the very philosophy behind NeurEco, our
Adagos
30 oct.1 min de lecture
☀️ August is a quieter month… At Adagos, we’re taking this time to recharge, enjoy the summer, and put the finishing touches on what’s coming next.
September will be a month of new opportunities to discover, learn, and connect: 🔹 An important evolution in our AI technology designed...
Adagos
19 août1 min de lecture
🤝 Partnership: GDTech x Adagos
We’re joining forces to accelerate the operational deployment of AI in engineering. Turning technical data into actionable models that...
Adagos
29 juil.1 min de lecture
⚙️ GDTech & Adagos team up to apply AI to complex systems engineering
GDTech and Adagos enter a strategic partnership to accelerate the use of AI in engineering, starting with the integration of NeurEco into...
Adagos
10 juil.1 min de lecture
🔍 Did you know?
In many industrial applications, it's possible to build reliable digital twins with 10 to 100 times less data than commonly expected....
Adagos
20 mai1 min de lecture
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