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As of 2016, AI accelerators are an emerging class of [[microprocessor]] designed to accelerate [[artificial neural networks]], [[machine vision]] and other [[machine learning]] algorithms for robotics, internet of things and other data-intensive/sensor driven tasks. They are frequently [[manycore]] designs (mirroring the massively-parallel nature of biological neural networks). They are targeted at practical [[Narrow AI]] applications, rather [[AGI]] research.
They are distinct from [[GPU]]s which are commonly used for the same role in that they lack any [[fixed function unit]]s for graphics, and generally focus on lower precision arithmetic.
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