Prof. Yang Chai
General Chair
The Hong Kong Polytechnic University
Welcome Message from Symposium Chair
On behalf of the Organizing Committee, I am pleased to welcome you to the 3rd International Symposium on Memory Devices for Abundant Data Computing online. The abundant data computing growth rate has gone from strength to strength over the last few years with the last decades. It has been expected to some jobs will be greatly influenced even affected by Artificial intelligence (AI) and robotics. AI makes it possible to perform human-like tasks through computing systems. But the most creative machine learning algorithms are hamstrung by machines that cannot harness their power. The computing systems based on silicon CMOS technology and Von Neumann architecture are running into their physical limits. The data transfer between the physically separated processor and memory units greatly limit the computation speed and energy efficiency. Moving data to and from memory slows down deep learning network training. It is highly imperative to find analogue devices that can combine memory and computation for neuromorphic computing progress. Memory device can potentially meet this requirement.
