New edge-inference machine-learning architectures have been arriving at an astounding rate over the last year. Making sense of them all is a challenge.
To begin with, not all ML architectures are alike. One of the complicating factors in understanding the different machine-learning architectures is the nomenclature used to describe them. You’ll see terms like “sea-of-MACs,” “systolic...
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