A chip on a green circuit board
A processor on a circuit board

Research field

Edge-AI Computing

Artificial intelligence right where the data is created. Instead of sending data to distant data centres, edge AI computes on the device itself: in the sensor, the machine, the vehicle. That saves time and energy and keeps the data where it belongs.

What it takes

Edge-AI computing is the foundation our four pillars stand on, and it needs all of them:

  • Embedded system design for tailored, efficient systems
  • Digital circuits design for fast AI accelerators
  • Dependable computing for AI you can trust
  • Post-Moore computing for new, efficient architectures

Projects

AIMS5.0The crises of recent years have shown how vulnerable long supply chains are. AIMS5.0 (Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0) aims to … SSVEKIPedestrians, cyclists and other vulnerable road users have hardly any protection when a vehicle hits them. SSVEKI develops a system that foresees such collisions in real time and … TEdgeAIAI chips for edge devices have to compute efficiently and at the same time be trustworthy and resistant to attacks. That is hard: design flow, tools and AI model have to fit toge …

Completed projects

Team