Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI. The company researches dynamical systems such as coupled Kuramoto oscillators as a computing substrate that maps onto analog and physical hardware, pointing toward on the order of 1000x lower energy for AI than today's digital accelerators. - View it on GitHub