Akai Lab.

    Neuromorphic computational systems modeled after neuronal systems in the brain have attracted considerable attention. Notably, neuronal informational systems utilize stochastic fluctuations in their information transfers and computing.
Stochastic computation in the brain is considered one of the origins of intelligence, and it is believed that noise significantly reduces the energy consumption of the brain.
Our laboratory investigated their interactions and dynamics at atomic and molecular nanointerfaces. The physical and chemical events at the surface and interface were studied under static states to eliminate noise and fluctuations. However, to understand the principal mechanisms in nature, it is important to study the nonequilibrium and dynamics of the reaction.
We hope to pave the way for further applications, particularly neuromorphic technologies that mimic nerve cells. Overcoming these challenges will pave a pathway for using artificial material assemblies capable of artificial intelligence or life.
The tiny artificial intelligence devices that we aim to develop may fit into the palm of your hand or at the tip of your fingers. They could be inexpensive, small, low-power edge computing devices that can perform flexible cognition, reasoning, and decision-making at a human level.
We hope to create a future in which "small and soft artificial intelligence" is ubiquitous, through technological innovations in the world of surface and interface science.