The project
Dake is a deep-tech research initiative exploring unconventional approaches to energy generation and transmission at the intersection of quantum physics, artificial intelligence and engineering.
Research areas
- AI-driven energy grid optimisation — deep learning algorithms to study the reduction of transmission losses
- Quantum systems — research on next-generation energy conversion
- Distributed energy infrastructure — self-organising networks
- Gravitational potential energy harvesting — experimental systems
The vision
The physics of energy has open problems. Dake works on them, combining physics simulation, AI models and engineering to rethink how energy is generated, transmitted and distributed.
More at dake.it.