glxc

This is pretty cool, a project that directly addresses a problem faced by many millennial travelers including myself.

A few questions that are unclear: do you still need WiFi on your phone while traveling for the service to work? The mechanism for placing calls is still unclear, as opposed to receiving calls.

Republic Wireless and Google's Project Fi seem to be tackling related problems.

cant you just put like an otter case around it?

weight loss pills that really work!

nothing constructive except to applaud "... fitter, happier, and more productive"

i can't speak to their respective backgrounds, but there was an ESPN documentary not too long ago that explored the post-playing career trajectories of professional athletes for major sports

Edit: ^^yeah, "Broke" that's the one

this is why i love airbnb

first thought- MS didn't support SSH?

anyone who works as hard at moving forward like he does, a safety net is irrelevant, you can never fall back

apparently acted alone, and was responsible for 1 in 5 'sell' orders the day of the crash

must have had some tech skill to get his operation running. i suppose it's not surprising this came from a lone trader, as this behavior would have been caught at an organization.

k-means clustering is iterative while standard mapreduce is single pass

"At conferences, don't waste time" and not "Don't waste time by attending conferences"

nah, that's from season 1 of the Wire

Elon Musk has got to step up god damnit

Learn programming fundamentals through TopCoder and HackerRank, which have programming puzzles and teach algorithm and data structure fundamentals

Then also get involved in an open-source project, just keep looking for interesting subjects and find one you like. Programming is more about managing projects, and it will give you something to put and talk about on your resume, and meet new people, and lead to jobs

Everything you need is online. "Pick a job and become the person that does it" - Mad Men

and we're off!

..this MC is intense

Where do you find 10 people who don't drink coffee?

I don't think the recognition is the challenge but rather the training of the model. Like imagine taking a really long time to compute a good linear regression equation, but then to use it you just plug in the values.

That said, this deep convolutional neural net for ImageNet with 60 million parameters and 650,000 neurons took 6 days to train on two GPUs [0]

[0] http://deeplearning.cs.cmu.edu/pdfs/1028/ImageNet.pdf

He's not a roboticist or a film producer, he's a technologist

This is an amazing article and incredible blog

Among many interesting and inspiring themes, of interest to the HN community may be the disassociation of vision and objects. All of the deep learning models succeeding in classification emulate one side of the brain, while perspectives like this present life outside the constraint of rational thinking.