Cognitive sensor nodes and systems

Here is a non-exhaustive list of research directions that we enjoy exploring in the cognitive sensor nodes and systems (CogSys) team:

  • digital and mixed-signal neuromorphic integrated circuits and machine learning accelerators,
  • bio-plausible training algorithms and emerging brain-inspired computational primitives,
  • hardware-algorithm co-design for low-cost on-chip learning and adaptation,
  • whole-chain aspects from sensing to decision for autonomous sensorimotor agents.

This page is under construction and will be updated soon with more information on the team's daily life and key research milestones