How does this even get discovered? Like they’re pointing a camera at a croissant and the AI says “I don’t know what that bread based food is but the guy holding it has melanoma”. I just can’t figure out how those two tests overlapped at all.
They likely changed the model and did some additional training on cancer data. The first thing you do in machine learning 101 is build a neural network that can identify breast cancer. This is such a non story meant to get attention from those who are not aware of how it works.
I would imagine once it gets good at distinguishing things like various kinds of baked goods (which is actually really tough, I’d imagine), then you start exploring what other challenges it can solve.
How does this even get discovered? Like they’re pointing a camera at a croissant and the AI says “I don’t know what that bread based food is but the guy holding it has melanoma”. I just can’t figure out how those two tests overlapped at all.
They likely changed the model and did some additional training on cancer data. The first thing you do in machine learning 101 is build a neural network that can identify breast cancer. This is such a non story meant to get attention from those who are not aware of how it works.
You realize most people are not aware of how it works, right?
Why else would I leave a comment explaining it? I did not mean to be condescending and hoped it was obvious my annoyance was at the article.
I would imagine once it gets good at distinguishing things like various kinds of baked goods (which is actually really tough, I’d imagine), then you start exploring what other challenges it can solve.
I’m guessing something to do with either yeast or protein.
A guy/gal who studies cancer cells went to a bakery in Japan. (S)he quickly went, “if that computer can tell all these baked goods apart…”
I read an article about ages back.