What is it about?

This research asks the seemingly simple question: what happens if we try to do computation with values encoded only as times? While we do not know how to fully answer to that question yet, our results are encouraging and point to radically more energy efficient forms of computing!

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Why is it important?

It is the first paper to demonstrate the applicability of delay-coded logic at scale and points towards the energy and performance efficiency of sensor/hardware/algorithm co-design approaches.

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This page is a summary of: In-sensor classification with boosted race trees, Communications of the ACM, June 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3460223.
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