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9 results for “machine learning”
Topic4 mentions across episodes
Machine learning
Concept2 mentions across episodes
machine learning
...reinforcement learning that for a very specific but, fundamental computational task, so multiplying matrices, for the first time showed that, AI agents can discover better algorithms than what humans had been able to do before them. So this was the f
1:26 / 2:39
from transcript1:26 – 2:39
a priority. Do you know how difficult this question is going to be? And especially in the sciences, that's something that often has a very surprising answer. Like very trivial questions can turn out to be extremely, extremely difficult and vice versa
16:28 / 17:41
from transcript16:28 – 17:41
...learning, which is a whole framework of AI. There's a deep literature here. To summarize, it's often known as trial and error learning or the subfield of AI where you're trying to make sequential decisions in a certain potentially un potentially nois
26:52 / 28:10
from transcript26:52 – 28:10
...machine. But, that was just a more anecdotal inspiration. The field really began in the fifties, when computer scientists came together and look at how we can use computer programs and algorithms to, to build these programs that can do things that ha
12:00 / 13:02
from transcript12:00 – 13:02
...general learning approach that can scale with computation because it ultimately proves to be the most effective. And the alternative would be something that's much more human labored and human involved that requires human knowledge. And so the first
21:44 / 22:53
from transcript21:44 – 22:53
...machine, or whether the computer from the beginning should have been built basically mapped to the neural structure of the brain. So there's like a steampunk Earth two where, like, all computers for the last eighty years, right, have been basically b
5:48 / 8:27
from transcript5:48 – 8:27
I wonder if Alan Turing is around today and you ask him to contrast AI versus AGI. He might just shrug and said, well, I asked the same question back in nineteen forties. So so I don't wanna get get onto a rabbit hole of defining AI versus AGI. I fee
25:28 / 26:30
from transcript25:28 – 26:30
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