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\n“Like any good magician, Lantern can color without revealing the trick. When fed a sketch\u2014say, a grayscale picture of a raccoon\u2014it can conjure up the creature\u2019s life-like colors. Give it a person’s picture, and it can suggest how they might look as an old-timer. What seems like an audacious feat of imagination is actually the work of a precise recipe\u2014one involving vast amounts of data, sophisticated formulas, and a sprinkle or two of digital stardust.”<\/p>\n
Seems like our techy little friend, Lantern, has a magic hat of tricks all of its own. Drawing up colors out of a sketch or hocus-pocus-ing a youthful face to look like an old-timer, Lantern is pulling off a quite entertaining magic show. But don’t be fooled; this isn’t an audacious wizard spell. It’s a cocktail – an elaborate one at that. Lantern owes its wizarding ways to data, vast and endless quantities of it, and algorithms as sophisticated as they come. Oh, and let’s not forget that crucial pinch of digital stardust.<\/p>\n
Our beloved Lantern is putting up quite the show, but the essence of its wizardry trick is simple: understanding context. In the depths of this fancy gadgetry, the wizard behind the colored smoke and mirrors is none other than – wait for it – AI. Lantern absorbs images from the web (close to 1.3 million of them!), applies mathematical intricacies of dimension reduction, and there we are – impressionable results created by a seemingly intuitive AI. <\/p>\n
And when we said ‘mathematical intricacies,’ we weren’t kidding. Lantern is leveraging an algorithm named t-SNE, which stands for t-Distributed Stochastic Neighbor Embedding if you were curious. Thank the digital gods for acronyms, right? This high-level math, combined with the value of AI and machine learning, is working behind the scenes to conjure these magical effects. <\/p>\n
Is this the secret to AI creativity? Perhaps, if you conveniently ignore the fact that there’s thoughtful human ingenuity poured into creating the training data for this ‘creative’ AI. How so? Well, the people tagging these images, categorizing them, and participating in creating the training data bring their own slice of human subjectivity and bias to the mix.<\/p>\n
So yes, Lantern is juggling a million-dollar trick. Still, remember the stunt is as much a product of human creativity as it is an innovation by AI. The part of AI in it is merely holding a mirror up to the human imagination and reflecting it back in various shades. So, give yourself a pat on the back because that seemingly magical AI is just taking a leaf out of your unparalleled, divine human thinking. After all, not all tricks are revealed at the right time.
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