in 차세대 반도체 연구소, 한국과학기술연구원 (KIST)
Neuromorphic Engineering with
Emerging Device and Algorithm (NEED-A) Lab
Bio-inspired neuromorphic engineering for future intelligent hardware systems.
1. Emerging Device Development
Memristors, also called RRAMs or resistive switching devices, have attracted tremendous attention as possible candidates for many applications such as neuromorphic computing hardware, next-generation memory cells, logic applications, and security applications. The Lab is now developing a new strategy to achieve optimized switching behavior through CMOS compatible materials/fabrication steps.
2. Algorithm Development
Spiking Neural Networks (SNN) are considered as a truly brain-inspired algorithm and are expected to be able to reduce required power for data processing by mimicking the human brain. Our group is now constructing and modifying the algorithm to facilitate and utilize a structural and functional property of emerging devices.
3. Integrated System Development
Another major focus would be the heterogeneous integration of intelligent systems from input sensors to computing units. By utilizing memristor-based computing systems, the team will demonstrate fully integrated systems from artificial neurons (CMOS) to artificial synapses(memristors). The team will also involve in development of in-memory computing applications using the integrated systems.
