What happened to the MIT License and liberating knowledge, does MIT not do that anymore?
Besides, random people do think of cool stuff all the time. They just don't normally patent it or start a business based on it. I thought of real-time music streaming to phones as a subscription service way before Spotify was a thing, but there wasn't much that 15 year old me could do about it. To this day I still have no idea how I would have gone about with a similarly good idea if I got one again.
Do you believe that implementation has no time-cost?
Also, I don't think your appropriated quote addresses the implications of the MIT License, its history and associated institution, or the liberation of knowledge.
> [A video with] 60 frames per second only allowed to identify the speaker and the number of people in the room.
> The demo in the video is based on a high-speed (1000+fps) recording by a special camera, not on 'normal' video.
It would be interesting to know what the genesis of this project was - for example if the NSA or CIA was involved in suggesting to a professor that MIT take a look at this area. This is a very mission-specific technology.
I haven't looked, but if the NSA was involved with this, its usually easy to find out. Just look for any grants involved and look up the source of the grant. They don't usually hide their involvement in funding research. Pretty much any study done in the past 10 years about manipulating social graphs was funded by the NSA.
No, it's really not, there a ton of engineering and scientific uses where it may be useful to measure acoustic emissions off a vibrating surface, but it may be infusible or too resource intensive to attach/deploy conventional acoustic transducers. For example, characterizing sound sources in moving vehicles like trains (which currently require microphone arrays and a lot of post-processing) or wind turbines (which require expensive sound intensity measurement equipment).
If the cost of high-speed cameras come down, this could be a valuable alternative.
how accurately can we recreate a 3d space from sound? what assumptions/information would you need to make it more accurate?
i will look it up, i am mostly curious about it's resolution. for instance, my unqualified hunch is that the algorithm couldn't detect the size of the dog in my room based on a microphone recording.
i guess the more calibration involved the easier the problem becomes. but that is no fun. :)
CSI has forever been changed. Bet you it is on next season on multiple of TV crime shows.
