mtw

46 ms·

421.
by mtw 11y ago
It sounds like these apps are targeting high-end experiences. What about fast-food? Could be less hassle
422.
by mtw 11y ago
Too much text. Can anyone point to actual Wechant screens or video showcasing ecommerce? I have had WeChat installed for the past year, chat regularly but as far as I'm concerned, the only thing you can do is buy nice animated drawings
423.
by mtw 11y ago
Interestingly, Lwan is the fastest server for json serialization : https://www.techempower.com/benchmarks/#section=data-r12&hw=... This could be a great choice as a json server, if they showed more examples working
424.
by mtw 11y ago
I'm interested in it because the machine learning library Torch is using it (and by extension Facebook and other big tech companies). It's also one of the fastest dynamic languages for web applications
425.
by mtw 11y ago
Apple has also 2GB RAM for the new iPad "Pro" Double the price tho
426.
by mtw 11y ago
Why would you want tinder on a laptop? I'd pay more for a device that allows you to code, write a doc, do basic photo processing, etc. In my case, I wouldn't bring my 15" macbook pro when travelling or going a business meetin
427.
by mtw 11y ago
Nice. Tempted. I wish they'd offer a nice keyboard that goes with it and clips (magnets?) to the tablet.
428.
by mtw 11y ago
But you can also do that do that on any iPad or Android tablet? Plus imagine the cases where you don't have wifi (train commute, metro, lousy coffee shop etc.)
429.
by mtw 11y ago
So you can install and run nginx, redis, Atom.io, postgres etc. on this?
430.
by mtw 11y ago
iPhones would be amazing if it could be expanded with microSD!
431.
by mtw 11y ago
"Pool is destroyed"
432.
by mtw 11y ago
don't hate - there are lots of people out there wanting to have their own app. They're just responding to the demand
433.
by mtw 11y ago
These are all meaningless words without a sample video
434.
by mtw 11y ago
I rely on wikipedia like everyone on hacker news but I can't help thinking that changing their status to benefit corporation like Kickstarter would improve the structure and also their finances. Non-profit closes a lot of doors, especi
435.
by mtw 11y ago
It actually made sense, a while ago. Hollywood editors were using Final Cut X in production, and you could host beefy architectures on XServe and XServe Raid, with fiber channel and all latest tech. I think that's the time where videog
436.
by mtw 11y ago
I wish Apple focuses instead on bigger hardware (mac server, mac pros) for scientific computing and video/graphic applications. Professionals like the Apple GUI but if you can't find a machine with a good nvidia card, many will ju
437.
by mtw 11y ago
wrong people at the wrong place; it seems they were unlucky and ignorant in choosing this deal
438.
by mtw 11y ago
I wonder if someone experimented in boosting the signal x1000 and see if it creates side-effects in organic matter (of varying conductivity, for example skin, brain neurons etc.) Also "already-intended power output". If this avail
439.
by mtw 11y ago
What are the health implications of this?
440.
by mtw 11y ago
Is it possible to donate to a specific VLC contributor?
441.
by mtw 11y ago
Are there small or big tech companies using Julia in production? I'm interested in use cases outside of research labs
442.
by mtw 11y ago
Nice project. I'm thinking I could do the same with a tracked robot at home. Good way to try out the new TX1s from nvidia
443.
by mtw 11y ago
gumroad specializes in creative works and digital goods. Such as "Pay $10 and get this ebook on painting"
444.
by mtw 11y ago
the AI group at Facebook is using AWS instances with GPU. When you do the maths, it's quite interesting for research
445.
by mtw 11y ago
What would be the usage? Spark for?
446.
by mtw 11y ago
https://www.bitpi.co/2015/03/31/basic-deep-learning-raspberr...
447.
by mtw 11y ago
I don't see a GPU? as opposed to the Nvidia board
448.
by mtw 11y ago
Sorry, a CUDA core is not a CPU. See https://en.wikipedia.org/wiki/CUDA#/media/File:CUDA_processi...
449.
by mtw 11y ago
The rest of us don't have "a few thousand CPUs" though. Seen this way, TensorFlow is largely inaccessible and makes more sense to focus on existing librairies optimized for single cpus
450.
by mtw 11y ago
Scenarios of machine learning on 1 machine is way more common than machine learning on 10,000 machines! I doubt even Google would have 10,000 for google translate It's more realistic to discuss librairies for 1 machine / GPU

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