🔍 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.

➡️ How? By using parsimonious models, smart architectures that capture the essence of a system’s behavior without unnecessary complexity.These models leverage the underlying physical or mathematical structure of the system, rather than relying purely on blind data fitting.

🎯 The result:

• Less data required

• Shorter training times

• Faster, simpler, and often more robust models
  

📉 Abundant data isn’t always a prerequisite. Sometimes, better modeling starts with better understanding:By embedding physical constraints directly into the model, we avoid black-box behaviors and gain reliability, especially in critical environments like aerospace, energy systems, or industrial automation.

🧠 Intelligence doesn't always come from complexity, but from the ability to represent systems with clarity and precision.

#AI #DigitalTwin #MachineLearning #IndustrialAI