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Results highlights from using pix2pix to help colorize historical portraits from the Smithsonian’s National Portrait Gallery (figure by author)

Humans are inherently creative. New tools unlock the creativity lying dormant in an untapped wave of makers that find unexpected ways to showcase their artistic abilities. According to a Pfeiffer Consulting study, even experienced artists appreciate new tech as an enabler of creativity. The study found that 74% of the…

Visualizing LDA extracted trip topics, figure by author

Every text is produced by an author whose utterances, units of discourse exerted with intent, are preserved in writing. As such, large collectives of texts can be used to study pieces of culture. Unsupervised machine learning methods like topic modeling allow us to extract underlying cultural themes from large volumes…

CycleGAN dragon outputs (image by author)

Friday, February 12th marks the start of the Lunar New Year in 2021. You’ll often see colorful dancing dragons at new year festivals wishing celebrators good luck. To celebrate ML-style, I used CycleGAN to generate dragons with fun decorative flare (shown above) and I’ll describe the implementation steps in this…

Tina Tang

An engineer that loves art exploring ways AI/ML can enable creativity. (she/her) Twitter: @StocasiaAI LinkedIn: https://www.linkedin.com/in/tina-tang-uva/

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