Fontify utilizes machine-learning methodology and a database containing millions of text samples to find the most suitable font for the content of a given text in real time. Fontify takes a transient text message and typographically transforms it into a monumental sign. It offers its users a “double exposure” experience, the dissonance of simultaneously seeing their text as a private message and as a public object that is open to manipulation by the automatic act that interprets its emotional and cultural content. The Fontify online platform offers a new mapping for the intersection of cultural phenomena that were previously not related.
Graphic design: Yaara Kass
JONATHAN ABRAMSON (B. 1982) completed his BSc in Mathematics and Computer Science at the Hebrew University of Jerusalem (HUJI). Jonathan is now completing his MSc studies in Computer Science at HUJI. Fontify was created as part of his MSc thesis in collaboration with Bezalel Center for Design & Technology. Jonathan works and lives in Jerusalem and is a member of the Perceptual Computing team at Intel.
MICHAEL FINK, PhD, his work bridges media research, machine learning & cognitive science. He joined Google Research in 2005 and worked on “mass-personalization” via dual screen experiences. Later he joined YouTube, inventing YouTube’s interactive video annotations. Since then, he led Google’s data visualization team, Google Trends and efforts in Google Analytics & Google Search. Recently, he launched an excellence undergraduate program integrating computer science at the Hebrew University with design at the Bezalel Academy.