The problem here is EEG. EEG bandwidth is not enough to capture that much information. There is far too much noise introduced by the skull and muscles. It's most likely physically impossible to do something like this with EEG.
What's likely happening here is that there's some large scale oscillations that are sufficiently unique to discern the images from each other. This does not mean they are reproducing the images. I am highly skeptical of the methods used here -- they are almost certainly flawed.
I, too, once had dreams of conquering the planet with EEG when I was a grad student. I quickly learned that physics makes this infeasible. Anyone who is serious about BMIs are studying invasive BMIs and how to make them as safe as possible. Going inside the brain is unavoidable, I'm afraid.
With enough receive antennas and processing power, you can get almost unbounded 3D resolution.
Video: https://youtu.be/nf-P3b2AnZw
Watch how it has preconceived notions of these scenes. It frequently fails to reconstruct the correct scene from video, and it also turns completely blank input into one of the scenes it was trained on.
Currently eyewitness criminal sketches are still drawn by artist so they are naturally low fidelity.
That will change once you can generate a photo of a face (like https://thispersondoesnotexist.com/) based on your brain waves.
This will be disastrous on so many levels. The eyewitness might not have a good sample of a minority race. The GAN dataset itself might also only be trained on celebrity faces so it doesn't know how to generate anything else (e.g., a teen).
But it will be deceptively high resolution so police will rely on it.
If you have a generic face your life is fucked.
I did my thesis on EEG signals, also having a very idealistic view of what could I do with it, only to find that even the most basic of tasks is hard to classify (even to find motor cortex movement intention signatures (if you want to move left or right hand)).
This work will not go into the real world in this stage, as it is badly done and most certainly having multiple flaws in the implementation, rendering it unusable in the real world.
So, don't get too stressed out about this, if it happens, it will be about 20-30 years from now. And keeping in mind how slow the law enforcement technology moves forward (aren't most of them still using windows xp and vista?) I would count more like 30-50 years.
https://www.vox.com/culture/2017/12/29/16808458/black-mirror...
We have 24 subjects listening to 12 songs in random order, with 128 channel EEG sampling at 1000hz. We can then label all these data points with the musical features at the time the data is collected.
We don't have a public repo yet, but we are sharing data.
* we do not need passwords
* eventually, human will be more empathetic
* new educational system
Probably the opposite. All passwords are machine generated/stored. Everyone uses an HSM.
When all thoughts a public has is a good thought.
It would be a beautiful world.
So whats the first thing any innovation should bring upon us? being good, thinking good.
What would a world look like if all innovations does good to public?
People's thought become good.