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Mona Lisa 'brought to life' with deepfake AI

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Video showing how 'real' Mona Lisa was createdImage source, Samsung
Image caption,

A YouTube video explains how the researchers brought Mona Lisa to life

The subject of Leonardo da Vinci's famous Mona Lisa painting has been brought to life by AI researchers.

The video, achieved from a single photo, shows the model in the portrait moving her head, eyes and mouth.

The latest iteration of so-called deepfake technology came out of Samsung's AI research laboratory in Moscow.

Some are concerned that the rise of convincing deepfake technology has huge potential for misuse.

Samsung's algorithms were trained on a public database of 7,000 images of celebrities gathered from YouTube.

The AI system mapped facial features and movements on to a photo to bring it to life.

Image source, Samsung
Image caption,

Marilyn Monroe was also brought to life using the technology

It also made videos of Salvador Dali, Albert Einstein, Fyodor Dostoyevsky and Marilyn Monroe.

, the Samsung team called its creations "realistic neural talking heads".

There was a mixed reaction to thethe system worked with one describing it as like "watching the future of SkyNet unfold".

Fake Obama

Researchers at Tel Aviv University showed off a similar system in 2017.

A fake video of President Barack Obama was created by Dr Supasorn Suwajanakorn in 2017.

Talking to the ´óÏó´«Ã½, the researcher acknowledged that the technology could be misused but he added it could also be used as a force for good, such as allowing grieving relatives to create avatars of family members after they die.

Experts have previously said that fake videos of politicians could fool entire populations and the issues do not stop at political manipulation.

Deepfake technology has also been used to manipulate photos of celebrities to create pornography.

Dave Coplin, chief executive of AI consultancy The Envisioners, said: "The rise of convincing deepfakes is something that could be really problematic unless we have this conversation. Members of the public need to know how easy it is to create convincing fake videos."