MIT researchers found that different algorithms can all be grouped into a ‘periodic table’ of AI. Having a periodic table of algorithms will make it easier to figure out which ones to use together depending on the desired properties. Now, computer science is taking advantage of the usefulness of the periodic table to help them achieve their own scientific ends. MIT researchers have created a periodic table that orders AI algorithms based on the properties they share with a mathematical framework known as information contrastive learning (I-Con). Just like the actual periodic table, which includes blank spaces for elements that have yet to be discovered, there are empty spaces in the AI periodic table that have been left blank for algorithms whose datapoint connections to I-Con are still unknown.