In light of the increasing adoption of edge computing in areas such as
i...
Brain-inspired spiking neural networks (SNNs) replace the multiply-accum...
Graph dynamic random walks (GDRWs) have recently emerged as a powerful
p...
Hyperdimensional computing (HDC) uses binary vectors of high dimensions ...
Spiking neural networks (SNN) are a viable alternative to conventional
a...
Spiking neural networks (SNNs) are well suited for resource-constrained
...
The use of FPGAs for efficient graph processing has attracted significan...
In-memory deep learning computes neural network models where they are st...
Deep neural networks (DNN) have achieved remarkable success in computer
...
In this paper, we propose ThundeRiNG, a resource-efficient and
high-thro...
FPGAs have become emerging computing infrastructures for accelerating
ap...
The next wave of on-device AI will likely require energy-efficient deep
...