 |
| copyright bots fail |
BY GEETA DAYAL 09.06.12
"As live streaming video surges in popularity, so are copyright “bots” — automated systems that match content against a database of reference files of copyrighted material. These systems can block streaming video in real time, while it is still being broadcast, leading to potentially worrying implications for freedom of speech."
The volume of content is overwhelming, encouraging the use of automated filters, working via video/audio-monitoring algorithms.
...article goes on to mention various embarissing incidents where public feeds (by any definition) were automatically suspended by autonomous bots, which are apparently not 'smart' enough to see what is quite obvious to us humans.
"Given all that, it’s likely that this collision between algorithmic defense of copyright versus spontaneous speech isn’t going to be resolved soon."
Electronic Frontier Foundation
POST SCRIPT:
YouTube Upgrades Its Automated Copyright Enforcement System | Electronic Frontier Foundation
M.I.T. Computer Program Reveals Invisible Motion in Video
[video link]
Eulerian Video Magnification for Revealing Subtle Changes in the World
[via]
So It Begins: Darpa Sets Out to Make Computers That Can Teach Themselves
BY ROBERT BECKHUSEN, 03-2013
“Probabilistic Programming for Advanced Machine Learning”
When Darpa talks about artificial intelligence, it’s not talking about modeling computers after the human brain. That path fell out of favor among computer scientists years ago as a means of creating artificial intelligence; we’d have to understand our own brains first before building a working artificial version of one. But the agency thinks we can build machines that learn and evolve, using algorithms — “probabilistic programming” — to parse through vast amounts of data and select the best of it. After that, the machine learns to repeat the process and do it better.
POST SCRIPT:
YouTube Upgrades Its Automated Copyright Enforcement System | Electronic Frontier Foundation
M.I.T. Computer Program Reveals Invisible Motion in Video
[video link]
Eulerian Video Magnification for Revealing Subtle Changes in the World
[via]
So It Begins: Darpa Sets Out to Make Computers That Can Teach Themselves
BY ROBERT BECKHUSEN, 03-2013
“Probabilistic Programming for Advanced Machine Learning”
When Darpa talks about artificial intelligence, it’s not talking about modeling computers after the human brain. That path fell out of favor among computer scientists years ago as a means of creating artificial intelligence; we’d have to understand our own brains first before building a working artificial version of one. But the agency thinks we can build machines that learn and evolve, using algorithms — “probabilistic programming” — to parse through vast amounts of data and select the best of it. After that, the machine learns to repeat the process and do it better.
No comments:
Post a Comment