Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...
Abstract: Digital Computing-in-Memory (DCIM) is an emerging architecture that integrates digital logic into memory for efficient AI computing. However, current DCIM designs heavily rely on manual ...
Abstract: Being able to build a map of the environment and to simultaneously localize within this map is an essential skill for mobile robots navigating in unknown environments in absence of external ...
The project CINN is a machine learning compiler and executor for multiple hardware backends. It is designed to provide multiple layers of APIs to make tensor computation easier to define, faster to ...
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