15 citations · 34 across the 9 of their papers we have counts for
9 papers
A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications
Eren Kurshan, Hai Li, Mingoo Seok +1
Over the last decade, artificial intelligence has found many applications areas in the society. As AI solutions have become more sophistication and the use cases grew, they highlig…
A 6.3-Nanowatt-per-Channel 96-Channel Neural Spike Processor for a Movement-Intention-Decoding Brain-Computer-Interface Implant
Zhewei Jiang, Jiangyi Li, Pavan K. Chundi +6
This paper presents microwatt end-to-end neural signal processing hardware for deployment-stage real-time upper-limb movement intent decoding. This module features intercellular sp…
Always-On, Sub-300-nW, Event-Driven Spiking Neural Network based on Spike-Driven Clock-Generation and Clock- and Power-Gating for an Ultra-Low-Power Intelligent Device
Dewei Wang, Pavan Kumar Chundi, Sung Justin Kim +6
Always-on artificial intelligent (AI) functions such as keyword spotting (KWS) and visual wake-up tend to dominate total power consumption in ultra-low power devices. A key observa…
MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning
Peiye Liu, Bo Wu, Huadong Ma +1
Recent studies on automatic neural architectures search have demonstrated significant performance, competitive to or even better than hand-crafted neural architectures. However, mo…
KTAN: Knowledge Transfer Adversarial Network
Peiye Liu, Wu Liu, Huadong Ma +2
To reduce the large computation and storage cost of a deep convolutional neural network, the knowledge distillation based methods have pioneered to transfer the generalization abil…
FPGA with Improved Routability and Robustness in 130nm CMOS with Open-Source CAD Targetability
Guanshun Yu, Tom Y. Cheng, Blayne Kettlewell +3
This paper outlines an FPGA VLSI design methodology that was used to realize a fully functioning FPGA chip in 130nm CMOS with improved routability and memory robustness. The archit…