|
|
|
|
|
by pdimitar
3252 days ago
|
|
Your reply, while overall correct, still underestimates the problem of "how do we invent AI?". Data-sets shouldn't be "tuned" or "refined" (tems I see in practically every "AI" article); if they need to be remade then the consumer is not only not AI -- it's not even a clever NN implementation. Forgive my cynicism if you can, but in my eyes you guys just support what might make you money one day (or already does) and thus aren't objective. You're like the parents that are completely blind to their child's defects due to paternal / maternal hormones. There's no AI on this planet. There are not even beginnings of an AI. Deep learning is practically a statistically biased classification algorithm and not much else. To me the term AI is being abused. I want AI to exist, but I am seeing every indication that the area is falling victim to capitalistic interests and this won't change anytime soon. |
|
I'm not talking about building a real AI.
I actually agree with you that we're nowhere near developing that. Not sure where you got any other idea from me.
I'm saying there are some machine learning problems that could be served by some simple data entry. This could save lives, including yours and mine, via advanced cancer detection [1]
You're right that since I studied data science, I'm incentivized to advertise its usefulness. But, I studied data science because I believe it is a growing part of our future.
You can try it yourself too. There are many tutorials online. Making use of machine learning gets easier every year.
[1] http://money.cnn.com/2015/03/12/technology/enlitic-technolog...