Current AI concerns revolve mostly around art and chatbots, but in the future of Jung_E, things are a little more intense. The first teaser for the sci-fi film features a company called Kronoid Lab introducing what it describes as the "most advanced AI combat warrior." We don't actually get to see it in action -- it's just a brief teaser, after all -- but it seems pretty clear that things aren't going to go as planned.

The latest AI project from the MIT Media Lab is demonstrating just how terrifying the prospects of deep learning can go. Welcome to the Nightmare Machine: an algorithm that has been trained to generate horrifying images. It is attempting to find the scariest faces and locations possible, and gets humans to tell it which are the worst. The first aspect of the project, Haunted Faces, is truly terrifying. The team behind the project, led by Iyad Rahwan, associate professor at MIT Media Lab, used deep learning to generate new faces, before dropping "a hint of scariness" onto the generated faces in the spirit of Halloween.

When it comes to personal privacy and overall security, we often think of passwords, fingerprints, and even our own faces as being the keys that unlock our world, but what about your voice? If someone could perfectly mimic your voice, what kind of damage could they do? If they contacted people you know, could they lie their way into gaining private information about you? Unfortunately, we may soon live in a world where such a danger is real, thanks to extremely powerful -- and admittedly very cool -- deep learning technology that can mimic your voice using just 60 seconds worth of your speech. Canadian tech startup Lyrebird's new voice-copying tech was unveiled this week, and it sounds like something straight out of a futuristic thriller.

The latest AI project from the MIT Media Lab is demonstrating just how terrifying the prospects of deep learning can go. IBM Watson creates the first AI-made film trailer – and it's incredibly creepy Welcome to the Nightmare Machine: an algorithm that has been trained to generate horrifying images. It is attempting to find the scariest faces and locations possible, and gets humans to tell it which are the worst. The first aspect of the project, Haunted Faces, is truly terrifying. The team behind the project, led by Iyad Rahwan, associate professor at MIT Media Lab, used deep learning to generate new faces, before dropping "a hint of scariness" onto the generated faces in the spirit of Halloween.