Deep learning
Applications
Point cloud segmentation
IMU based gait phase and related estimation
IMU Based Deep Stride Length Estimation With Self-Supervised Learning
Real-time wearable gait phase segmentation for running and walking
Real Time On Sensor Gait Phase Detection with 0.5 KB Deep Learning Model
Determining motions with an IMU during level walking and slope and stair walking
Segmentation for medical images
Model accelerations
Reduce memory bandwidth
Hardware accelerations (Digital implementation)
Spiking neural network
Convolutional neural network
A Real-Time 1280, x, 720 Object Detection Chip With 585 MB/s Memory Traffic
VSA: Reconfigurable vectorwise spiking neural network accelerator
Efficient accelerator for dilated and transposed convolution with decomposition
VWA: Hardware efficient vectorwise accelerator for convolutional neural network
VSCNN: convolution neural network accelerator with vector sparsity
End-to-end hardware accelerator for deep convolutional neural network
Data and hardware efficient design for convolutional neural network
Hardware accelerations (In-memory computing implementation)