What we want to achieve

Research Aim

Our group, HAL aims to develop neuromorphic hardware systems inspired by our brain. In KAIST BCS, we will build nanomaterial-based artificial neurons and synapses, and engineer their network structure to develop a device that 'think' like a real brain. 

1. Neuromorphic hardware for  on-device computing

We aim to develop nanomaterial network-based memristive network. In this system, each functional nanomaterial behaves as neuron and synapse, and their structural connection enables to perform spatiotemporal computation. Combined with peripheral control logic, this system can perform neuromorphic computation for spatiotemporally correlated data- such as brain signals, video, and biological data.

2. Nanomaterials for connectome emulation

In our brain, not only the function of a single neuron and synapse, but also their connections are critical in its computational performance. In HAL, we will investigate nanofabrication processes and in-situ formation of conduction paths to emulate the connection patterns of our brain. 

3. Soft neuromorphics for in-sensor computing

 For a better brain-machine interface, we aim to develop a mechanically soft and conformable neuromorphic system and a flexible peripheral circuit. This in-sensor and near-sensor computing will become critical for protecting our sensitive biological data and reducing the long wireless communication chain.