DATE Conference 2021 was held as a virtual event from February 1st to 5th. As usual, it offered a wide selection of papers – mostly from academic researchers – on a range of topics including design automation, neural networks, automotive applications, quantum computing, security, cyber-physical systems etc. In this article we will briefly summarize just a few papers presented at the DATE 2021 – in no particular order – only to give a taste of the event. For each paper, only the speaker’s affiliation is indicated here, even though the works usually involved multiple universities or research institutions.
University of Stuttgart (Germany) discussed Negative Capacitance Field-Effect Transistors (NCFETs) as a new beyond-CMOS technology with advantages for offering low power and/or higher accuracy for neural network inference; and Ferroelectric FET (FeFET) as a novel non-volatile, area-efficient and ultra-low power memory device.
TU Dresden (Germany) addressed emerging ‘reconfigurable nanotechnologies’ that allow the implementation of self-dual functions with a fewer number of transistors as compared to traditional CMOS technologies. The team developed methods to achieve better area results for Reconfigurable Field-Effect Transistors (RFET)-based circuits.
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