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Abstract: Analog in-memory computing (AIMC) is attracting strong interest for accelerating data-intensive tasks such as artificial intelligence by overcoming the memory wall. Recently, closed-loop ...

What has long been interpreted as permanent and irreversible vascular damage may not be exclusively so. In people with Down syndrome—one of the most robust populations for studying Alzheimer’s disease ...

This course focuses on the linear model techniques adopted for the analysis of a typical micro panel-data set with a large number of individuals and a small number of time periods. Such techniques ...

Abstract: Graph processing is typically memory bound due to low compute to memory access ratio and irregular data access pattern. The emerging high-bandwidth memory (HBM) delivers exceptional ...