cafebeen

12 ms·

91.
by cafebeen 11y ago
These ideas are not quite "emerging", but now is certainly a great time to implement them! Consider this quote: "Man-computer symbiosis is a subclass of man-machine systems. There are many man-machine systems. At present, ho
92.
by cafebeen 11y ago
It's probably best to understand what you're doing if you use something like this. I'd recommend at least going through an intro ML book/course to learn the basics first.
93.
by cafebeen 11y ago
I wouldn't worry too much about being scooped by this--the idea of data flow programming has been around since the 60s. Tensorflow looks like a very nice implementation of those ideas for neural network training, and is potentially us
94.
by cafebeen 11y ago
I would also add that even if these cases aren't noise, they're the ones that are easiest to detect due to their "strangeness". The followup question is then whether these cases are representative of all fraud or are ju
95.
by cafebeen 11y ago
Yes, that's the basic principle, but I think the "transactionally-safe" part is the point of the paper, i.e the fine grained eviction and non-blocking fetches.
96.
by cafebeen 11y ago
While I agree with the general sentiment, the article makes a pretty poor argument. One one hand, they cite research saying that gender and racial diversity can improve performance and creativity, and then they go on to talk about the lac
97.
by cafebeen 11y ago
It's really a challenge to use search in this way. The searcher could be depressed, or be a worried friend of some who's depressed, or be a writer looking for story ideas, or be a family member of the last person who used the bro
98.
by cafebeen 11y ago
Looking forward to hearing more--reminds me of work done to detect cancer by scent with help from dogs: https://en.wikipedia.org/wiki/Canine_cancer_detection
99.
A Nanotechnology-Inspired Grand Challenge for Future Computing(whitehouse.gov)
2 points by cafebeen 11y ago|0 comments
100.
by cafebeen 11y ago
Yeah, I think it's a parametric vs. non-parametric modeling comparison they're making, although they don't explicitly make that point. It does seem strange to call what they're doing "equation-free", but maybe
101.
by cafebeen 11y ago
It's worth noting that this doesn't work for any multi-dimensional time series, but only some. For example, the lat-long-elevation plot of an airplane's flight path could not be recovered from just the latitude plot, or on
102.
Virtual Reality Gets Real(theatlantic.com)
2 points by cafebeen 11y ago|0 comments
103.
by cafebeen 11y ago
Interesting stuff! It would certainly benefit from a comparison to other super-resolution techniques, e.g. Glasner et al. "Super-resolution from a single image" Freeman et al. "Example-based super-resolution"
104.
by cafebeen 11y ago
VR is pretty much as old as everything else in computer graphics (45+ yrs): http://www.computerhistory.org/revolution/input-output/14/35... Although now seems like a pretty great time for VR given the hardwar
105.
by cafebeen 11y ago
Yes, it came across as bragging about using a basic curve fitting technique and dressing it up with jargon. There's probably more interesting work done there that didn't make it to the article though.
106.
by cafebeen 11y ago
Seems like that would require overturning the act?
107.
by cafebeen 11y ago
It should be noted that gov't funded research at universities doesn't necessarily go into the public domain and can still be patented: https://en.wikipedia.org/wiki/Bayh–Dole_Act
108.
by cafebeen 11y ago
I think a multi-level marketing scheme includes a benefit for recruiting new people, in the form of some sort of "downline" compensation. As far as academia goes, this doesn't really exist, otherwise there'd be teaching
109.
by cafebeen 11y ago
To be fair, a similar pattern might be present in other industries as well, e.g. finance, food services, manufacturing, etc. I think the point the author is trying to make though is that academia is uniquely like a drug gang, but I'
110.
by cafebeen 11y ago
To give a little context on how old VR is, see this picture of Ivan Sutherland from 1967: http://www.computerhistory.org/revolution/input-output/14/35...
111.
by cafebeen 11y ago
A k-nearest neighbor classifier could be an example of a "simple" algorithm for intelligence, assuming of course, that you've collected a tremendous number of accurate (input, intelligent response) pairs!
112.
by cafebeen 11y ago
There are some non-invasive things like fMRI, fNIRS, and EEG that can measure activity to some extent, but those are all at far coarser resolution than single units.
113.
by cafebeen 11y ago
Yes, aka the "grandmother cell" hypothesis. I think those studies are interesting, but pretty limited given the number of neurons in a brain and how many you can (ethically) measure...
114.
by cafebeen 11y ago
Yes, there's a technique called single-unit recording: https://en.wikipedia.org/wiki/Single-unit_recording I think it's pretty rare to see an very selective response though, unless you're looking close t
115.
by cafebeen 11y ago
That sounds more in line with the unix philosophy!
116.
by cafebeen 11y ago
I agree that it's nice to have this kind of write up and code, but "works" is a low bar to pass, especially in image compression. If this were written up as an academic paper, a few questions would have to be answered: * wha
117.
by cafebeen 11y ago
Interesting, but it strikes me as a work in progress... Curious to see where it goes though!
118.
by cafebeen 11y ago
To be clear, EEG is useful for non-quack things like characterizing epilepsy, coma, sleep, etc.
119.
by cafebeen 11y ago
It's worth pointing out that a naive bayes or k-nearest-neighbor classifier can similarly generate examples of valid inputs.
120.
by cafebeen 11y ago
Might be worth trying a visual analytics system like Overview: https://blog.overviewdocs.com/ There's also a nice evaluation paper: http://www.cs.ubc.ca/labs/imager/tr/2014/Overview&

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