Comment Re:Uses? (Score 1) 75
I would love an app that can tell me wich of the myrad of threads a pipe connection has. Is it NPT? Is it BSP-T? Is it metric?
I would love an app that can tell me wich of the myrad of threads a pipe connection has. Is it NPT? Is it BSP-T? Is it metric?
I expect it's protection against invasion of privacy is limited.
Frustrating. I had to setup a friends iPad to connect to a network, couldn't easily tell if I was typing upper-case or lower-case for each character. Took a couple of attempts before realising that the keys don't change case on the screen keyboard.
This is a fair statement. Although I must chip in to state that the off-line gmail app for Chrome does a really nice job to cover that gap.
From my experience: fear usually inhibits creativity. Thus a FDD shop is probably not really innovative.
This may seem suitable for run of the mill work, even there I wouldn't advise FDD. All your good programmers are going to wise up and get a new job, in a company like Gazzonyx's.
Any important data should be backed up.
I spend half the winter hoping that polar vortex would come our way. Our winter sucked. It was wet and not cold enough.
We'll just use Dutch gas.
This is a great solution. I'd have to add that Plex supports sync into whatever cloud system you have as well. You select which content you want duplicated and it takes care of the rest.
I did the same as the original poster, converting lots of VHS and other dead media as best I could. Installing Sickbeard, NZBGet, Couch Potato, Headphones and a torrent server it's become quite a thing to behold. Using Plex with a couple of Chromecasts around the house really makes things easy. Chromecast and Plex get along with each other in a brilliant way. Best $35 ever spent. Even with the Netflix, HBO Go, iPlayer and a ton of other apps that just work.
I remember the Tower of Babel, all 37 feet of it, which I suppose was impressive at the time. And when it fell, they howled divine wrath. But come on, dried dung can only be stacked so high.
- Castiel, in Supernatural
They know that ALL their users are U2 fans. Every. Single. One.
And from this point on, if someone says they bought an iPhone you can say to their face that they are U2 fans, even if they deny it. Because Apple SAYS they are U2 fans, and to them that is the word of their god.
They give away Athlons for 10 bucks nowadays. If you could burn your custom asic into that, even if you wasted most of what used to be the Athlon; it would be fast as shit running your FPGA program natively. One you paid to lay it out, seems to me it might be cheap as shit to run a few thousand of them, and saturate the area with these detectors. Which feed already vastly condensed data that we would be capable of capturing.
That is just not how it works. You can't convert an athlon to a custom ASIC. The part that is the Athlon is the hardware.
To make a custom ASIC you need to make different hardware. That means making masks (cost a few million $), testing, making new masks, testing, running a batch, testing, testing testing.
With this batch size it isn't really interesting unless they need the additional speed ASICs bring.
FPGA's and CPUs are different enough that it is hard to compare the speed. For some tasks FPGA's are way faster, for most tasks CPU's are way faster.
Think of the FPGA as a hummer and the CPU as a Ferrari. Most driving is done on roads, where the Ferrari is faster. However, in rough country I would bet on the Hummer.
Take your final FPGA and burn chips from it (I know they do that). Run a hundred, and CERN might pay 20 grand a chip if they're good enough. I made that number up'; I don't have a clue, but that's where I'm going with my question.
Converting FPGA programming to chips means you need to invest millions to produce masks. You ain't gonna do that for a few hundred if you can avoid it.
Those chips are called ASICs. They are usually faster then the FPGA. And if you need many then they are cheaper.
Assuming that list is accurate it is less than 8.3%.
That the models predict an amount of lithium with narrow error bars.
It's a really neat prediction, it just happens not to agree with the measurements.
All seems condemned in the long run to approximate a state akin to Gaussian noise. -- James Martin