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AI can make art now, but artists aren’t afraid

Artists are supposed to be among the least likely to lose their jobs to automation, but what happens when AI-enabled features start painting, editing, and doing other parts of their jobs for them?

Companies that make industry-standard creative tools like Adobe and Celsys have been adding AI features to their digital art software in recent years in the hopes that it’ll speed up workflows by eliminating drudge work, and give artists more time to experiment.

From machine learning tools that help find specific video frames faster, to features that color in entire works of line art with just a button, AI is being incorporated in subtle, but surprisingly impactful ways.

“AI cannot replace the creative spark.” Adobe makes a big splash every time it shows off concept AI tools, like content-aware fill for video, but it’s usually the more subtle AI features that actually ship.

“But when you can automate a big part of that process, you allow more room for different ideas and visual languages to be explored, since you can iterate on them a lot faster.” Some studios have already begun investing in auto-coloring research, including OLM, the production studio behind the Pokémon anime.

The technology is based on a deep learning method, which combines computer vision tools, like those used in self-driving cars, with visual creation tools, like the one Nvidia used to create extremely realistic AI-generated faces.

It’s worth noting that the company is also using artists’ uploaded data to improve the technology, but Celsys says artists will retain copyright for the uploaded and generated image, and the image data will never be released.

U.S., China take the lead in race for artificial intelligence: U.N.

GENEVA (Reuters) - China and the United States are ahead of the global competition to dominate artificial intelligence (AI), according to a study by the U.N.

Gurry acknowledged there were accusations about China’s behavior but there was no doubt it had embraced the global intellectual property system, with the world’s largest patent office and the largest number of domestic patent applications.

The WIPO study analyzed international patent filings, scientific publications, litigation filings and acquisition activity, and found there had been as many patent applications for AI since 2013 as in the half century since the term was coined in the 1950s.

Patent applications in machine learning, which includes techniques used by ride-sharing services to minimize detours, averaged annual growth of 28 percent between 2013 and 2016, the last year for which data is available, because of an 18-month period before confidential applications are publicly disclosed.

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