Is human creativity being replaced by the synthetic equivalent? The fear: AI is cranking out increasingly sophisticated visual, musical, and literary works. AI-generated media will flood the market, squeezing out human artists and depriving the world of their creativity.

A neural network can make a photo resemble a painting via neural style transfer, but it can also learn to reproduce an image by applying brush strokes. A new method taught a system this painterly skill without any training data.

Ludwig van Beethoven died before he completed what would have been his tenth and final symphony. A team of computer scientists and music scholars approximated the music that might have been.

Creative engineers are combining deep learning systems to produce a groundswell of generated imagery. Researchers, hackers, and artists are producing new works by pairing CLIP, a pretrained image classifier, with a generative adversarial network (GAN).

Computer vision is probing the history of ancient pottery | What’s new: Researchers at Northern Arizona University developed a machine learning model that identifies different styles of Native American painting on ceramic fragments and sorts the shards by historical period.

Neural networks for image generation don’t just create new art — they can help recreate works that have been lost for ages. Oxia Palus, a UK startup dedicated to resurrecting lost art through AI.

Neural networks can tease apart the different sounds in musical. Companies and hobbyists are using deep learning to separate voices and instruments in commercial recordings, Wired reported.

An automated art critic spells out the emotional impact of images. Led by Panos Achlioptas, researchers at Ecole Polytechnique, King Abdullah University, and Stanford University trained a deep learning system to generate subjective interpretations of art.

In 2021, I envision that the AI community will create more tools to unleash human creativity. AI will help people across the globe to communicate and express emotions and moods in their own unique ways.

GANs are adept at mapping the artistic style of one picture onto the subject of another, known as style transfer. However, applied to the fanciful illustrations in children’s books, some GANs prove better at preserving style, others better at preserving subject matter.

An artist is using deep learning to create realistic portraits of historical figures like Napoleon Bonaparte, Vincent Van Gogh, and England’s first Queen Elizabeth.

Music that features a “singing” koala bear took the prize in one of Europe’s highest-profile AI competitions yet. A team of Australian programmers, designers, and musicians won the inaugural AI Song Contest with a koala-tinged track called “Beautiful the World.”

A new generative model croons like Elvis and raps like Eminem. It might even make you think you’re listening to a lost demo by the Beatles. OpenAI released Jukebox, a deep learning system that has generated thousands of songs in styles from country to metal and soul.

Bored with your Spotify playlists? Let this robot singer/songwriter take you on a trip “Into Your Mind.” A music-composing, marimba-playing robot named Shimon has learned to write and sing its own lyrics, IEEE Spectrum reports.

While deep learning is taking us into the future, it’s also opening windows into the past. A Redditor brought 100-year-old silent film footage of New York City into the 21st century by automatically sharpening the picture, boosting the frame rate, and adding color.