This paper addresses one of the directions of the HORIZON EU CONVOLVE project being dependability of smart edge processors based on computation-in-memory and emerging memristor devices such as RRAM. It discusses how how this alternative computing paradigm will change the way we used to do manufacturing test. In addition, it describes how these emerging devices inherently suffering from many non-idealities are calling for new solutions in order to ensure accurate and reliable edge computing. Moreover, the paper also covers the security aspects for future edge processors and shows the challenges and the future directions
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discu...
Abstract Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehen...
Scenario: System reliability monitoring focuses on determining the level at which the system works a...
This paper addresses one of the directions of the HORIZON EU CONVOLVE project being dependability of...
The migration of the computation from the cloud into edge devices, i.e., Internet-of-Things (IoTs) d...
This book explores new developments, ideas, and concepts in intelligent edge-embedded technologies f...
Edge computing is the practice of placing computing resources at the edges of the Internet in close ...
With the rise of deep learning (DL), our world braces for artificial intelligence (AI) in every edge...
With the rise of DL, our world braces for AI in every edge device, creating an urgent need for edge-...
With the surge in complexity of edge workloads, it appeared in the scientific community that such wo...
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discu...
As a fast evolving domain that merges edge computing, data analytics and AI/ML, commonly referred as...
Artificial Intelligence (AI) has become a major innovative force and a major pillar in the fourth in...
With the rapid advancements of the internet of things, systems including sensing, communication, and...
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discu...
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discu...
Abstract Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehen...
Scenario: System reliability monitoring focuses on determining the level at which the system works a...
This paper addresses one of the directions of the HORIZON EU CONVOLVE project being dependability of...
The migration of the computation from the cloud into edge devices, i.e., Internet-of-Things (IoTs) d...
This book explores new developments, ideas, and concepts in intelligent edge-embedded technologies f...
Edge computing is the practice of placing computing resources at the edges of the Internet in close ...
With the rise of deep learning (DL), our world braces for artificial intelligence (AI) in every edge...
With the rise of DL, our world braces for AI in every edge device, creating an urgent need for edge-...
With the surge in complexity of edge workloads, it appeared in the scientific community that such wo...
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discu...
As a fast evolving domain that merges edge computing, data analytics and AI/ML, commonly referred as...
Artificial Intelligence (AI) has become a major innovative force and a major pillar in the fourth in...
With the rapid advancements of the internet of things, systems including sensing, communication, and...
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discu...
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discu...
Abstract Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehen...
Scenario: System reliability monitoring focuses on determining the level at which the system works a...