Lin Gu

EtinyNet: Extremely Tiny Network for TinyML

2022 · Proceedings of the AAAI Conference on Artificial Intelligence

There are many AI applications in high-income countries because their implementation depends on expensive GPU cards (~2000$) and reliable power supply (~200W). To deploy AI in resource-poor settings on cheaper (~20$) and low-power devices (

Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory

2023 · arXiv (Cornell University)

Magnons, bosonic quasiparticles carrying angular momentum, can flow through insulators for information transmission with minimal power dissipation. However, it remains challenging to develop a magnon-based logic due to the lack of efficient electrical manipulation of …