25 citations · 29 across the 7 of their papers we have counts for
8 papers
Zephyr: An Efficient Audio Denoising System Using Spiking Neural Networks Enabled With A Sparsity-Aware Flexible FPGA PE Array
Cheng-En Chang, Chi-Wei Kao, Chung-Lun Yang +4
In this work we look to neuromorphic computing to solve the power consumption problem that audio denoising neural networks face on edge devices like smartphones, wireless headphone…
Learning to Focus Synthetic Aperture Radar On-line with State-Space Models
Sebastian Fieldhouse, Roberto Del Prete, Gabriele Daga +3
Conventional focusing methods for Synthetic Aperture Radar (SAR) employ block processing efficiently but remain latency-heavy processes that prevent the realisation of a closed-loo…
Silicon Aware Neural Networks
Sebastian Fieldhouse, Kea-Tiong Tang
Recent work in the machine learning literature has demonstrated that deep learning can train neural networks made of discrete logic gate functions to perform simple image classific…
A 0.5-V Linear Neuromorphic Voltage-to-Spike Encoder Using a Bulk-Driven Transconductor
Meysam Akbari, Erika Covi, Kea-Tiong Tang
This work introduces an ultralow-power voltage-to-spike encoder that achieves near-linear voltage-to-firing-rate conversion by pairing a linearized bulk-driven transconductor with…
Ultrasensitive Room-Temperature NO2 Gas Sensor Based on In2O3-NbS2 Heterojunction
P K Shihabudeen, Alex Sam, Shih-Wen Chiu +2
Niobium disulfide (NbS2), a two-dimensional transition metal dichalcogenide with semi metallic conductivity and high surface activity, offers promising properties for electronic an…
LG-LSQ: Learned Gradient Linear Symmetric Quantization
Shih-Ting Lin, Zhaofang Li, Yu-Hsiang Cheng +3
Deep neural networks with lower precision weights and operations at inference time have advantages in terms of the cost of memory space and accelerator power. The main challenge as…
POPPINS : A Population-Based Digital Spiking Neuromorphic Processor with Integer Quadratic Integrate-and-Fire Neurons
Zuo-Wei Yeh, Chia-Hua Hsu, Alexander White +5
The inner operations of the human brain as a biological processing system remain largely a mystery. Inspired by the function of the human brain and based on the analysis of simple…
MARS: Multi-macro Architecture SRAM CIM-Based Accelerator with Co-designed Compressed Neural Networks
Syuan-Hao Sie, Jye-Luen Lee, Yi-Ren Chen +4
Convolutional neural networks (CNNs) play a key role in deep learning applications. However, the large storage overheads and the substantial computation cost of CNNs are problemati…