This paper addresses the design of a partly-parallel cascaded FFT-IFFT
a...
Homomorphic Encryption (HE) allows any third party to operate on the
enc...
Modern neural networks have revolutionized the fields of computer vision...
Graph neural networks (GNNs) have emerged as a powerful tool to process
...
High-speed long polynomial multiplication is important for applications ...
With the surge of the powerful quantum computer, lattice-based cryptogra...
Computing the FFT of a single channel is well understood in the literatu...
This paper presents a low-latency hardware accelerator for modular polyn...
The time required for training the neural networks increases with size,
...
Deep neural network (DNN) has emerged as the most important and popular
...
Hyperdimensional (HD) computing is built upon its unique data type refer...
This paper presents a novel automated system that segments six sub-retin...
Due to their capacity-achieving property, polar codes have become one of...