I am looking forward to our new world.
Brain implant translates paralyzed man's thoughts into text with 94% accuracy
211–220 of 222 posts
Re: Brain implant translates paralyzed man's thoughts into text with 94% accuracy
#212Earlier quoted context omitted.
...which means that even a modestly sized transformer model could do significantly better.
with a big heap of "maybe". Signal could be a limiting factor, but also come on, more than 99% correct? That's above the level of a non-professional human transcriber in most situations. I'm not sure that typing I get more than 99% correct, I've made at least six errors typing this sentence alone (though it's quick to fix). The real improvement, it seems would be to speed and latency, looking at the diagram, the samp…
Re: Brain implant translates paralyzed man's thoughts into text with 94% accuracy
#213Interesting that the user has to think of specific letters to spell out a word. I guess the 26 distinct English letters are much easier to parse and separate than the untold thousands of words, especially when those words could be used in different contexts. I bet the next step wouldn't be to even parse words to make a sentence. It seems to me the next low hanging fruit would be to enable this machine to parse common…
A paralyzed man wrote a book by blinking when someone pointed at the right letter (sort of like how the guy stranded on Mars in book/movie The Martian sent messages to earth). This story was later made into the movie The Diving Bell and the Butterfly. https://en.wikipedia.org/wiki/The_Diving_Bell_and_the_Butter...
Re: Brain implant translates paralyzed man's thoughts into text with 94% accuracy
#214His first words were "I need more computing power"
"How about sending me a fourth gimbal for Christmas."
Re: Brain implant translates paralyzed man's thoughts into text with 94% accuracy
#215Re: Brain implant translates paralyzed man's thoughts into text with 94% accuracy
#216Earlier quoted context omitted.
Long ago, the accuracy would decline as scar tissue formed around implanted electrodes. Not sure if that's changed in recent years as techniques improved.
How long ago is long ago? 7 years ago I took a course on the then-current state of the art for neural interfacing, and this was nowhere near a solved problem then. There was research going into emulating sea cucumbers, so the electrode could be stiff enough to penetrate the brain but then soften to avoid the build up of scar tissue. I think that research is still ongoing.
Re: Brain implant translates paralyzed man's thoughts into text with 94% accuracy
#217Total dystopian thought, but I wonder if this could ever be used to extract info people unwillingly, as in some interrogation scenario. I mean, you have a lot more control over what you say than what you think.
Re: Brain implant translates paralyzed man's thoughts into text with 94% accuracy
#218Earlier quoted context omitted.
Yea, I actually consider the smaller FOV a feature. Doesn't necessarily have to be 45 degrees, but I'm not interested in covering my entire field of view. I want a monitor for work, not for games and movies. Immersion doesn't matter, but the comfort of not needing to cup my eyes sure does.
The whole point of VR is immersion. It's literally called Virtual Reality. What you seem to want is just a screen strapped to your head with some lenses to make it look further. Why do you want that exactly? Portability? Space saving?
Re: Brain implant translates paralyzed man's thoughts into text with 94% accuracy
#219Re: Brain implant translates paralyzed man's thoughts into text with 94% accuracy
#220Earlier quoted context omitted.
with a big heap of "maybe". Signal could be a limiting factor, but also come on, more than 99% correct? That's above the level of a non-professional human transcriber in most situations. I'm not sure that typing I get more than 99% correct, I've made at least six errors typing this sentence alone (though it's quick to fix). The real improvement, it seems would be to speed and latency, looking at the diagram, the samp…
That's why I wrote "could," as opposed to "would" :-)