Some of these advances are also nearing the end of low-hanging fruit, most obviously image recognition. We’re quickly approaching human levels for simple problems, and while there’s a massive amount of space for optimization and better training, these aren’t likely to be newsworthy in the same way.
Some of these advances are also nearing the end of low-hanging fruit, most obviously image recognition. We’re quickly approaching human levels for simple problems, and while there’s a massive amount of space for optimization and better training, these aren’t likely to be newsworthy in the same way.
The link still suggest that humans are much better.
I don’t see how better than human level at image recognition won’t provide newsworthy stories.
We are still a long way from security cameras in companies simply identifying every person who walks around via facial recognition.
Question such as whether a school or university is allowed to track attendance rates via facial recognition software will produce social debates.
Evernote does a bit image recognition for documents but aside from that I haven’t used any computer guided image recognition for a while.