We are building a new class of artificial intelligence inspired by the human brain orders of magnitude more efficient than today’s models.
It acts, receives feedback, adapts, and improves.
Multidisciplinary team (biology, physics, mathematics, AI)
Our diverse expertise enables us to solve complex problems by integrating insights from across the fundamental sciences.
Experimental validation on real-world systems
We bridge the gap between theoretical breakthroughs and practical application through rigorous empirical testing.
Brain-inspired learning mechanisms
Energy-efficient neural architectures
Alternatives to backpropagation