Microsoft To Launch Machine Learning Service
You don't trust anything you haven't built???
How do you know your HDD firmware isn't corrupting data? Build it yourself??
Microsoft To Launch Machine Learning Service
Google, Apple, Oracle, IBM, etc. etc.
Actually, Azure is great, and the addition of high level services like this is the right direction. Just spinning up VMs isn't nearly as useful as a service layer.
The algorithms aren't an especially hard part of machine learning, dealing with the data is. Anything that would save me the hassle of trying to fit things in RAM would be great...
Ask Slashdot: How To Back Up Physical Data?
An inexpensive fire-proof and waterproof safe will survive a gas explosion just fine.
But you are overestimating the importance of identity documents. A few sworn statements will have you up and running again in no time.
UK Court Orders Block of Three Torrent Sites
They are making it as difficult and possible to get at the content legally.
Indeed. So the less sociopathic and self-entitled among us take the option of 'not getting at it' rather than 'getting it illegally'.
Shorter '.uk' Domain Name Put On Ice
We've given up, and billion means thousand million in British English now.
Even more embarrassing, we now called muffins "English Muffins", because everyone thinks muffins are those fluffy things baked in tins that Starbucks sell.
PS3 Hacked via USB Dongle
What's the advantage of a console over a PC for people who develop or play indie games?
Mainly, it's not having your game ripped off by general free-loaders. And of course many games are better suited to controllers than keyboard/mice.
Would You Use a Free Netbook From Google?
I won't use a machine which is useless without network
I started out using VT320 terminals, so I'm kind of used to the idea of using lightweight hardware that's useless without a network. Worked pretty well at the time ;-)
Oracle Buys Sun
"On paper, Rock and the T2 look like they'd be a very good match for Oracle's workloads, but since Oracle's license prevents publishing benchmarks and I don't have the hardware and software to hand to test them, I can't tell how they do in the real world."
I do have the hardware and software to hand :-). We moved to T2 architecture (T5240s) at the beginning of the year for Oracle and for a bunch of other apps. In the case of Oracle it does what you expect - scales massively well for large numbers of fast queries (i.e. typical webapp situation), but of course if you have a single huge query, it's going to run on a single execution thread, slowly. A simple performance test showed Oracle scaling linearly until our test *client* ran out of steam - by then we were far about any expected load so didn't test further.
The key thing is licensing. We run Oracle 10g standard, and it works out very well. Oracle have insane licensing with fine distinctions about when a core counts as a CPU blah blah blah. Right now, with T2 we get 64 parallel execution threads for 1 Oracle CPU license, which works for me :-)
I'll be interested to see what Rock offers, but with the virtualization capabilities in Solaris, the T2 gives us a lot of room to be flexible and split stuff up. If you've been paying attention for the last 20 years and have designed your software on the principles of atomicity, asynchronicity, and statelessness, it does let you scale very very nicely.
Artificial Intelligence at Human Level by 2029?
"Language isn't far off at all, we just about have it already"
Actually, we aren't even close. Not only that but we've barely advanced in the last 20 years. Don't get me wrong, we're seeing lots more stuff in industry doing 'NLP' - but what its doing was done in labs years ago. It's a case of industry closing the gap on academia. The academics aren't making much progress.
We can use crude dictionary based algorithms to find noun phrases. We can have a fairly good stab at linking adjectives and adverbs to their nouns and verbs. We can get negation right 80% of the time. That's just parsing simple sentences. And sentences are the easy bit of language. Attempts at context sensitivity are dictionary based and poor.
For instance, what does "it" refer to in the following bits of language?
"It is raining"
"Eureka! I've got it!"
Think about how on earth you'd get a computer to determine the referent of 'it' in each case. NLP is not the route to AI. If anything, when we get further with AI in a couple of centuries, we may be able to make headway on NLP.