transcranial

10 ms·

61.
by transcranial 10y ago
Pretty sure he means anti-infectious disease
62.
by transcranial 10y ago
Nice work! I've also tried my hands at use WebGL to do deep learning in the browser (e.g. https://github.com/scienceai/neocortex/blob/master/src/lib/w... ). The conclusion I came to was tha
63.
by transcranial 10y ago
Nice list here, but by no means exhaustive: https://github.com/h5bp/Front-end-Developer-Interview-Questi...
64.
by transcranial 10y ago
In my experience, the only time this happens is with `npm uninstall`. If you only `npm install` stuff forever, node_modules seems pretty stable. Disk usage, however, is another matter.
65.
by transcranial 10y ago
The problem is that the latent space of a model trained on all comments is still massive. For any sort of coherence, you need to condition the probabilities on smaller spaces, or enforce structural bounds. Here's an example of a paper
66.
by transcranial 10y ago
Yeah, there's no effort to direct or encode intent. It's just producing what it probabilistically wants to produce. If it happens to run...cool? Here's a interesting example from Google DeepMind learning to generate code for
67.
by transcranial 10y ago
Apparently Parkinson's disease has been on the rise over the past several disease, some say due to the decrease in smoking. Which is fascinating, as smoking has been shown to be actually protective against Parkinson's.
68.
by transcranial 10y ago
Currently, South Korea and Japan have the highest incidences of stomach cancer. It's typically attributed to cured foods and processed meats. Prior to refrigeration, wide consumption of these foods were out of necessity.
69.
by transcranial 10y ago
The correlation is one of the strongest there is, and indeed, causal -- there's a almost perfect lag time of ~20 years [1]. [1] https://en.wikipedia.org/wiki/Lung_cancer#/media/File:Cancer...
70.
by transcranial 11y ago
Interestingly, this paper cites that previous submission: "2. Dahl, R.: Automatic colorization. In: http://tinyclouds.org/colorize/ . (2016)" They even included it in their comparisons (Table 1; Figure 5).
71.
by transcranial 11y ago
Congrats! Atom may not be perfect (no editor is), but it's constantly and consistently improving, which is a lot more than one can say about most other editors. For those who use Jupyter: there's a package called Hydrogen that let
72.
by transcranial 11y ago
They say that they make use of GPUs. Anybody know if this means GPU VMs are coming to google compute engine? That would be amazing. AWS GPU instances are popular but somewhat limited as they use older hardware.
73.
by transcranial 11y ago
Might be interested to check out https://science.ai
74.
Show HN: Visualizing groups of elements in React(github.com)
3 points by transcranial 11y ago|0 comments
75.
Using deep learning in JavaScript for large-scale scientific concept extraction(research.science.ai)
8 points by transcranial 11y ago|0 comments
76.
Show HN: A simple SVG hypercube animation(github.com)
1 points by transcranial 11y ago|0 comments
77.
How to make the Atom editor transparent(github.com)
97 points by transcranial 11y ago|55 comments
78.
by transcranial 11y ago
Nice work! Another demonstration of the amazing power of deep neural nets for transfer learning. For those interested, http://arxiv.org/abs/1511.06681 demonstrates experiments with video coloring using a 3D convolution
79.
by transcranial 11y ago
Really cool insight / results. Like relu and dropout, love it when such simple techniques make such great improvements.
80.
by transcranial 11y ago
HDF5 is actually a pleasure to work with in python due to h5py - and it's quite an efficient data format.
81.
by transcranial 11y ago
Over 15,000 academics and researchers have already signed a petition boycotting Elsevier. The effort is but a drop in the bucket in terms of what's needed. http://thecostofknowledge.com/
82.
by transcranial 12y ago
it's D3.js
83.
Show HN: DiseaseGraph – visualize connections between diseases(diseasegraph.com)
2 points by transcranial 12y ago|0 comments