You think it’s tough to tell fact from fiction in today’s current age? Well, we always have video to fall back on if we can’t believe your words. Or do we? Breakthroughs in video editing may soon make it nearly impossible to tell whether a video is fake or real, thanks to such AI Programs as AlphaGo Zero.
Over the past 18 months, researchers from around the world have made huge advances in manipulating pictures, images and sound using “machine learning” – artificial intelligence (AI) programs that continually refine their output. The success suggests that within the next decade we might live in a world full of pixel-perfect fake news. How will we ever trust our eyes again?
The summer road video was created by taking footage from a winter day, with bare branches and snow at the side of the road, and asking a computer to “imagine” how it would look in summer.
The result is virtually indistinguishable from the real thing. That in itself is remarkable enough, but even more astounding is how the team from Nvidia trained its AI.
Most machine learning involves feeding in a data set – say, 2,000 pictures of dogs – in the hope that the computer will be able to discern some intrinsic “dogginess” and then apply that knowledge to correctly label a new picture of a schnauzer or a spaniel. Researchers themselves don’t always know how their programs are making decisions.
The Nvidia team has taken this concept a step further, by introducing an element of competition. Two AI programs work together – one creates a fake image, and the other judges it. The first AI then tries again, and again, until the other one is satisfied with the result. (The technical term is a “generative adversarial network”.)
A similar duelling technique was used by Google’s Deepmind to learn the Chinese game Go: Two copies of its AlphaGo program squared off, but only one could win the match. This training allowed AlphaGo to beat the best human players at a game where there are more possible board positions than atoms in the universe.
A new version of the AI – nicknamed AlphaGo Zero – doesn’t need any human interaction, only the rules of the game. It also has another important feature: The same algorithm can learn to play chess, Go or the Japanese game, Shogi. If AI becomes more adaptable, then it’s creeping ever closer to true intelligence.
Read More at The Straits Times