Facebook says its new artificial intelligence can mimic your handwriting just by seeing a word
After the deepfakes of videos, voices and even satellite images, it is the writing shift. A new Facebook project can mimic most handwriting styles by reading just one word. From that word, the artificial intelligence learns the font and then uses it to write any text.
TextStyleBrush is the name of Facebook's new AI project. It's an artificial intelligence that can copy the style of a text found in a photographWhat truly makes it impressive compared to other similar artificial intelligences is the minimal amount of data it requires: just a few letters from a word. In other words, a user could theoretically type their name and the AI would be able to imitate their handwriting.
Facebook explains that while most AI systems can do this with specific tasks, in this case TextStyleBrush is flexible enough to understand all types of typography in real-world environmentsThat is, it understands without apparent problems texts with all kinds of calligraphy, applied styles, thicknesses, colors, shading or rotations.
They indicate that to achieve this, their artificial intelligence tries to to understand the typography being analyzed from a more holistic point of view And taking into account what it is like in its entirety. Generally, AIs that mimic handwriting look for specific parameters such as serifs or thickness, not in this case, which tries to understand handwriting more as a whole.
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The real benefit of having an AI copy your handwriting
As is often the case with this type of advance in artificial intelligence, it can have both positive and potentially negative uses. In theory, an AI like this could be used to forge someone's handwriting and "speak on their behalf," for example. But it can also have positive applications. For instance, it can to be used to instantly translate real-world texts simply by taking a photograph or pointing the camera.
In any case, for now it's just a public investigation by Facebook. We'll see if, in future iterations, the improvements can become popular when applied to a real app or tool. They say that There are still limitations and specific points to overcome, for example when AI has to deal with metallic texts and reflections.
You can find more information at | Facebook
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