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Adobe Training AI to Detect Images Edited Using Photoshop

Adobe's Photoshop software was originally released in 1990

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The headquarters of Adobe Systems in San Jose, California
The headquarters of Adobe Systems in San Jose, California. Wikimedia Commons

Adobe, along with researchers from the University of California, Berkeley, have trained Artificial Intelligence (AI) to detect facial manipulation in images edited using the Photoshop software.

At a time when deepfake visual content is getting commoner and more deceptive, the decision is also intended to make image forensics understandable for everyone.

“This new research is part of a broader effort across Adobe to better detect image, video, audio and document manipulations,” the company wrote in a blog-post on Friday.

On testing, it was found that while human eyes were able to judge the altered face 53 per cent of the time, the the trained neural network tool achieved results as high as 99 per cent.

Adobe, AI, Photoshopped
Adobe, along with researchers from the University of California, Berkeley, have trained Artificial Intelligence (AI) to detect facial manipulation in images edited using the Photoshop software. Pixabay

The tool also identified specific areas and methods of facial warping.

Adobe’s execution in detecting facial manipulation came just days after doctored videos of Facebook CEO Mark Zuckerberg and US Speaker Nancy Pelosi made the rounds on social media as well as news channels.

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“This is an important step in being able to detect certain types of image editing, and the undo capability works surprisingly well. Beyond technologies like this, the best defence will be a sophisticated public who know that content can be manipulated, often to delight them, but sometimes to mislead them as well,” said Gavin Miller, Head of Research, Adobe.

Adobe’s Photoshop software was originally released in 1990. (IANS)

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Researchers Develop AI Algorithm That can Solve Rubik’s Cube in Less Than a Second

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems

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Researchers have developed an AI algorithm that can solve a Rubiks Cube in a fraction of a second, faster than most humans. The work is a step toward making AI systems that can think, reason, plan and make decisions.

The study, published in the journal Nature Machine Intelligence, shows DeepCubeA — a deep reinforcement learning algorithm programmed by University of California computer scientists and mathematicians — can solve the Rubik’s Cube in a fraction of a second, without any specific domain knowledge or in-game coaching from humans.

This is no simple task considering that the cube has completion paths numbering in the billions but only one goal state – each of six sides displaying a solid colour – which apparently can not be found through random moves.

“Artificial Intelligence can defeat the world’s best human chess and Go players, but some of the more difficult puzzles, such as the Rubik’s Cube, had not been solved by computers, so we thought they were open for AI approaches,” said study author Pierre Baldi, Professor at the University of California.

“The solution to the Rubik’s Cube involves more symbolic, mathematical and abstract thinking, so a deep learning machine that can crack such a puzzle is getting closer to becoming a system that can think, reason, plan and make decisions,” Baldi said.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

For the study, the researchers demonstrated that DeepCubeA solved 100 percent of all test configurations, finding the shortest path to the goal state about 60 per cent of the time.

The algorithm also works on other combinatorial games such as the sliding tile puzzle, Lights Out and Sokoban.

The researchers were interested in understanding how and why the Artificial Intelligence (AI) made its moves and how long it took to perfect its method.

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“It learned on its own, our AI takes about 20 moves, most of the time solving it in the minimum number of steps,” Baldi said.

“Right there, you can see the strategy is different, so my best guess is that the AI’s form of reasoning is completely different from a human’s,” he added.

According to the researchers, the ultimate goal of projects such as this one is to build the next generation of AI systems. (IANS)