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4–7 September, 2019

Friday, 6 September | | Miraikan Hall

Talk | Presented in Japanese

Machine Learning and Type Design

Deep learning is a big trend in computer science these days. The deep-learning methods developed for the games Go and Shogi are well known, but there are successful cases in design, too. Typeface design is no stranger to deep learning, and multiple studies of automated design processes are currently underway. CJK is an area in desperate need of automation; working on thousands upon thousands of kanji characters is time-consuming and inhibits productivity. In the future, when we’ll presumably have easy access to such technology, we may need only supply a handful of glyphs, from which an algorithm will be able to generate a complete typeface at a standard that is indistinguishable from faces that have been manually crafted. This talk will show a font editor currently in development and discuss the possibility of applying deep learning to typeface design.