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By definition 'dark data' is data collected but not analyzed. With this technology they can now passively analyze all the data about you.

Exactly. But not just about you, about anything. It's uncatagorized data.
Many times businesses keep the dark data and just store it, as today it may seem unfeasable to go through it all.
 
Sweet. Apple can use all the help they can get in this space. Not sure why it took them until now to figure that out.
 
Perhaps it can scan, currently random data from millions of RL images, to create yet, unimaginable colour and texture combinations for new watch bands? :)
 
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I feel like I just watched an advertisement for "snake oil"....

If the conveyance of something's usefulness cannot be explained in such a way that is easily understood, then 1) it is either BS, or 2) the only people who DO understand it, were not involved in the attempt to explain it.
Sorry if I'm being obtuse, but I can't find a video anywhere... What did you watch?

FWIW, I've known plenty of brilliant engineers who are completely incapable of judging the proper level of detail for a given audience... Either they dive deep into the tech, or start talking in car analogies-- but they can't seem to find that middle zone.
 
The valley is running out of ridiculous synonyms to attract VC money. "Dark data?" Next will be "deep space dense data matter".

"Gibberish" was already taken, plus it doesn't sound as cool. lol.

Jokes aside this sounds really interesting. Adding logic and categorisation capabilities to automation.

Oh yeah, rise of the machines is near!!
 
JEEZ...what a name...sounds ominous instead of useful.
The company name is Lattice. Dark Data is a concept.

Based on what little I can find, it looks like these guys specialize data labeling, or maybe unstructured learning (or using one for the other).

When training an AI system, you typically have a "training set" that says "these are all pictures of dogs". When the system studies that set long enough, you can then ask it "does this new picture have a dog in it". The catch is that someone needs to go through all the pictures and find enough with dogs that you can provide as training examples.

This is an incredibly manual, time consuming and error prone process. People are really bad at repetitive mindless tasks. Right now a lot of training sets rely on one of three sources of training data: keyworded data in cloud storage (YouTube, Flickr), Captcha ("prove you're not a robot by finding the pictures of food"), and Amazon Mechanical Turk (farming out to people who get paid 10 cents an image or whatever).

Anything that hasn't run through a system like this, and hasn't been labeled, or at least categorized, is kind of out of the reach of deep learning networks-- it's therefore "dark". Hidden in the shadows.

It sounds like Lattice is trying to further automate the process.
 
This is their 4th AI/Machine Learning acquisition. They are clearly racing towards nextgen software based on strong AI and Augmented Reality.

I'd just like to see Siri improve and no be replaced sometime
 
Good good, more and better AI is a great idea. I am sure it will never come back and bite us in the ass.
 
This would make sense, considering all voice technologies (Siri, Google Voice etc) are all taken from Nuance.

Its like a tree spanning their branches with Apple, and Google on them :) (and Cortana maybe)
 
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