kevinalexbrown

9 ms·

31.
by kevinalexbrown 10y ago
If you live in Seattle, check out the Mountaineers. If in Portland, the Mazamas. First and second largest mountaineering groups in the US iirc. I learned to climb through maxamas, you'll learn to do it right. They don't just climb
32.
How the internet upends Katz, Smith, and electronic surveillance law [pdf](jolt.law.harvard.edu)
1 points by kevinalexbrown 10y ago|0 comments
33.
by kevinalexbrown 10y ago
Were you seen in a hospital or a private practice? If it was a hospital you almost certainly primarily interacted with graduates of the last 5 years since you're mostly seeing residents. Fwiw, "putting in effort" is somewhat
34.
by kevinalexbrown 10y ago
Without knowing this specific case, I can't say for sure. But my broader point is that the knowledge base required of doctors is so huge that even if it's not excusable, it is understandable. Like online community moderation, it&#
35.
by kevinalexbrown 10y ago
> the median doctor is pretty worthless This seems fairly disrespectful. I suppose you mean that the median doctor isn't perfect, but do you have any idea how many hours residents put in? You might think carefully before calling the
36.
by kevinalexbrown 10y ago
It was an image segmentation task, and the features were similar across data sets. The other thing that made it work well was heavy use of data augmentation that captured ways in which different data points could reasonably differ. There wa
37.
by kevinalexbrown 10y ago
I suspect one reason is the schleppiness of implementation. Healthcare is hard enough to navigate as a doctor or patient. Another is the existence of edge cases. While not quite as bad as self-driving cars, they still require human review.
38.
by kevinalexbrown 10y ago
One major, major advantage that medical imaging has for deep learning is the similarity of each data point, especially the 'background data.' For instance, human brains typically look very similar across individuals (up to scannin
39.
by kevinalexbrown 10y ago
Before neural networks got deep, there was a lot of very impressive work applying neural networks to medicine. Example: http://suzukilab.uchicago.edu/research.htm IIRC they were outperforming the average radiologist on some
40.
by kevinalexbrown 10y ago
> Making all this computerized seems to take the spirit of poker away. It is like playing online poker which is an entirely different ball game vs. real poker. Maybe, but it seems like impressive performance nonetheless.
41.
by kevinalexbrown 10y ago
> right now all they're saying is that there's a correlation in a study of less than 60 patients Sort-of. Many recent studies had already suggested a role of sodium accumulation in brain tissue loss in MS. Previous work had als
42.
by kevinalexbrown 10y ago
Much of this is due to Amari, who got really into merging theoretical neuroscience and IG, e.g. http://www.mitpressjournals.org/doi/abs/10.1162/089976602602...
43.
by kevinalexbrown 10y ago
This book is a great resource. I've gone back to it frequently. If you're interested in getting into statistics and machine learning, I cannot recommend this book highly enough. The motivations are good, and the explanations are g
44.
by kevinalexbrown 10y ago
What if, say, the trucking industry loses 50% of its jobs/salary in 5 years? That's a lot of displacement even in an industry with high turnover (I don't know if those numbers are realistic, but I do think there will be faste
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by kevinalexbrown 10y ago
If you read people's comments carefully, I think you'll find that almost no one is proposing to stall self-driving trucks for the sake of jobs. But it does raise questions about worker displacement that are very interesting, and n
46.
by kevinalexbrown 10y ago
The trucking industry is huge (say 1.5 million truckers alone, plus rest stops etc), and it will largely have disappeared as a result of this. Uber may want drivers in the cab now, but when it's reliable enough, I imagine it makes sens
47.
by kevinalexbrown 10y ago
Throwing money at neuroscience hasn't been so bad, has it?
48.
by kevinalexbrown 10y ago
> Ct scans aren't really used to look for brain tumors. I can see how my phrasing was confusing, but I didn't mean to suggest that Ct scans are used to look for brain tumors. My work segmenting brain scans was not tumor-related
49.
by kevinalexbrown 10y ago
I've used deep learning for segmenting brain anatomical scans, and I worked in a lab that used neural networks to detect cancerous tumors. I suspect the first major hospital-facing implementations of machine learning will be in radiolo
50.
by kevinalexbrown 10y ago
I don't think that explains it, either: Even in low contrast, the illusion fails w/o the lines, as far as I can tell.
51.
by kevinalexbrown 10y ago
I'm not sure the central argument fully explains the illusion. If you can simultaneously see several stars in the sky using your peripheral vision using averted gaze, why not several dots? I suspect uncertainty plays a part, but image
52.
New Yorkers Will Pay $56 a Month to Trim a Minute Off Their Commute(fivethirtyeight.com)
4 points by kevinalexbrown 10y ago|2 comments
53.
by kevinalexbrown 10y ago
You don't need to genetically modify an organism at birth to use optogenetics.
54.
by kevinalexbrown 10y ago
strictly speaking, this is calcium imaging
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by kevinalexbrown 10y ago
Is it excessive? It certainly doesn't seem to be BS. It's published in a reputable journal (which doesn't make it true). It discusses several of the questions raised by Animats directly (though I wouldn't say it answers
56.
by kevinalexbrown 10y ago
The press release at least attempted to answer some of your 'usual questions'.
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by kevinalexbrown 10y ago
It's actually a major approach under the name biomass. Despite releasing carbon when wood is burned, the tree has taken in significant CO2 over the course of its life. In addition, decomposing wood byproducts are going to release carbo
58.
Phototactic guidance of a tissue-engineered soft-robotic ray(science.sciencemag.org)
1 points by kevinalexbrown 10y ago|0 comments
59.
by kevinalexbrown 11y ago
One intuitive way to categorize products is according to the observability of the value. In one class, it's readily apparent: the storage is cheaper, it doesn't fail very often, there's little downtime, my payments always go
60.
by kevinalexbrown 11y ago
I sat in on a couple of those classes. At the beginning of the class there were 50-100 people registered. At the end, there were 6 (including graduate students).

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