Is limitation of AI really endless when at it’s core is just statistic data?
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I was wondering why so many companies are focusing on making AIs that beat games at a faster and faster pace? For eg, How does making an AI agent play Doom would help us? How would the agent’s skills be transferred to the real world? Would love to get some insight on this topic as I have been wondering about this for a while.
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Im first year CS student from EU. So far im fascinated by AI and i know it’s not going anywhere and it’s only gonna get stronger. I’m planning on learning python and getting my feet wet with AI and machine learning this summer. My questions is, how will this field change in 5-10 years, will getting a job be easier or harder?
Will PhD still be a pre-req for high-end stuff? I don’t have problem with work that needs to be put in, but with time to get a PhD (7+ years in my case). With these online resources that are growing by the day i think i can get a solid foundation in this field by the time i finish Uni and would like to work in the field by then. Does this sound possible?
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I definitely want to get involved in the field because of all the amazing things that are happening here. I’m planning on taking fast.ai’s course and then doing Andrew Ng’s deeplearning.ai course. But a friend of mine told me it’s impossible to get a j…
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