3 ms·
In my experience with machine learning, the last few percent of weird cases are exponentially varied and change over time so are always new. You hit a performan
by BenoitEssiambre 7y ago
In my experience with machine learning, the last few percent of weird cases are exponentially varied and change over time so are always new. You hit a performance wall at a certain level. Researchers have been driven mad by this wall. See for example https://www.wired.com/2008/01/ff-aimystery/ https://www.wired.com/2008/01/ff-aimystery/
For cars, behaving dangerously just 0.1% of the time is way too much.
A good AI should have really good 'one shot' deduction capability not just work by induction using tons of data. I don't think the current crop of algorithms are there yet.
- LameRubberDucky 7y agoEven humans have difficulty dealing with weird cases. Car accidents happen for many reasons, including the driver being unable to process the incoming information in the given time. One of my pet peeves is the lack of raised markings (Botts' dots or other types) on highways. With the right combination of wet streets and lighting, all of the lines on a roadway can seem to disappear. A machine with different sensors may actually be able to detect the lines better than a human could in this particular situation.