GitHub

README.md

In this work, we analyze the open-source Vortex GPGPU HDL source code for portability between FPGA and ASIC target technologies. Beyond coding HDL source for legal RTL synthesis, several architecture ...
IEEE

FPGA-Accelerated Sim-to-Real Control Policy Learning for Robotic Arms

Abstract: Sim-to-real robot learning has been used in various applications, but its implementation in software may not provide the best performance. This tutorial describes how hardware acceleration ...
Frontiers

Neural network methods for radiation detectors and imaging

Recent advances in image data proccesing through deep learning allow for new optimization and performance-enhancement schemes for radiation detectors and imaging hardware. This enables radiation ...
IEEE

Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks

Abstract: Adversarial attacks have exposed serious vulnerabilities in deep neural networks (DNNs), causing misclassifications through human-imperceptible perturbations to DNN inputs. We explore a new ...
GitHub

JackHCC/Arxiv-NLP-Reporter

2022-04-08 Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection Pedro Henrique Luz de Araujo et.al. 2204.04042v1 link 2022-04-08 BioBART: Pretraining ...
Frontiers

Deep Learning With Spiking Neurons: Opportunities and Challenges

Spiking neural networks (SNNs) are inspired by information processing in biology, where sparse and asynchronous binary signals are communicated and processed in a massively parallel fashion. SNNs on ...