Approximate computing: Difference between revisions

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==Application areas==
Approximate computing has been used in a variety of domains where the applications are error-tolerant, such as [[multimedia]] processing, [[machine learning]], [[signal processing]], [[Computational science|scientific computing]], etc. Google is using this approach in their [[Tensor processing unit]]s (TPU, a custom ASIC){{Citation needed}}.
 
==Derived paradigms==