In this work, we demonstrate the offline FPGA realization of both recurr...
In this paper, a new methodology is proposed that allows for the
low-com...
For the first time, recurrent and feedforward neural network-based equal...
In this paper, we provide a deep dive into the deployment of inference
a...
In this document, we describe LDBC Graphalytics, an industrial-grade
ben...
Quantifying vulnerabilities of network systems has been a highly
controv...
Deep learning (DL) is one of the most prominent branches of machine lear...
The field of machine ethics is concerned with the question of how to emb...
For an autonomous system, the ability to justify and explain its decisio...
Domain specific accelerators present new challenges and opportunities fo...