Though we’re living through a time of extraordinary innovation in GPU-accelerated machine learning, the latest research papers frequently (and prominently) feature algorithms that are decades, in certain cases 70 years old.
Given the extent to which these older algorithms support and are enmeshed in the latest trends and headline-grabbing developments in machine learning, it’s a contestable stance.
So let’s take a look at some of the ‘classic’ building blocks underpinning the latest innovations, as well as some newer entries that are making an early bid for the AI hall of fame.
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