nimithryn

11 ms·

61.
by nimithryn 6y ago
Solution to ... what? I work in this area - I don’t think a “monorepo” is going to solve the numerous difficult problems the US has with modern multi-domain ISR. How do you represent and compare different capabilities from different domains
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by nimithryn 6y ago
Not to mention that there's way more video of Obama speaking than most people
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by nimithryn 7y ago
If anything it's the reverse: "NASA: 90% of our rocket scientists use the rocket you designed, but you can't fix an AC so f* off"
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by nimithryn 7y ago
This doesn't surprise me at all. I'd posit that it is only in the interest of these "gurus" to reveal their stock picks when they are ready to unload them - i.e. when they think the opposite of whatever they are predicti
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by nimithryn 8y ago
Look into OpenCog - there's some sheaf-theoretic NLP stuff going on there. There's a recent high-level overview by Linas Vepstas you can find on the ArXiv somewhere. There's a project called SheafSystem also, which is a sheaf
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by nimithryn 8y ago
Ah yes I am very familiar with ILP - thanks for sending these references!
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by nimithryn 8y ago
>>>Don't expect the industry to lead this effort, though. The industry sees the reliance on large datasets as something to be exploited for a competitive advantage. This is only true for the Facebooks and Googles of the world.
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by nimithryn 8y ago
Try watching a movie version - I really like Branagh's Hamlet and I never expected to (long though)
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by nimithryn 8y ago
Curious what you're working on and if you have any specific references - I'm also interested in fusion of classic symbolic AI with deep learning
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by nimithryn 8y ago
There's also UMAP, which is new but looks promising.
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by nimithryn 8y ago
Yeah it's most obvious that there is some natural/genetic talent at play in sports like swimming/track and field. I was pretty obsessed with running in high school - I trained damn hard, did 80 mile weeks in the offseasons, e
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by nimithryn 8y ago
I am not convinced he is right about how susceptible people are to the black swan effect: it seems like your average person overvalues tail probabilities, not undervalues (hence why people play the lottery and buy insurance). It's been
73.
by nimithryn 8y ago
Plenty of mathematicians are older I'm sure. I know Wiles was 40ish when he proved Fermat's Last Theorem.
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by nimithryn 8y ago
This article argues that these companies want physicists to handle the abstract math and numerical programming that machine learning requires. But physicists don't have a monopoly on those skills; they are taught in plenty of engineeri
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by nimithryn 8y ago
Two methods I always use: 1. Google the article title and click on the search results to reach the article. 2. Refresh the webpage; as the page loads, hit the x in the browser to kill the loading. Sometimes this loads the article but not th
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by nimithryn 8y ago
The paper (which admittedly I only skimmed, so someone correct me if I'm wrong) seems to indicate that only around 70% of the variance based on a simulation (and I believe historical data) was due to fishing. The remainder could very w
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by nimithryn 8y ago
The problem with this is that the various cryptocurrencies are all very correlated with each other. So having an "index fund" won't achieve much diversification, unlike a real index fund that has stocks in different industrie
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by nimithryn 8y ago
Or a confounding variable: high achieving men work hard in the gym and in their relationships.
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by nimithryn 8y ago
Or people who are more likely to commit to long term exercise plans are also more likely to commit to long term relationships? Like, maybe it's a discipline thing. Are people with advanced degrees and skills that take discipline to mai
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by nimithryn 8y ago
You may be confusing the distribution of the means of the samples (which will be normally distributed if the Central Limit Theorem holds) with the sample itself (which will not generally be normally distributed).