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Apple Acquires AI Company Lattice Data, A Specialist In Unstructured ‘Dark Data'

2017-05-15 839 Posted by 3uTools

As large tech companies gear up to make a stronger push into machine learning and artificial intelligence, Apple has acquired a company to fill out its own capabilities in the area.


Specifically, Apple has picked up Lattice Data, a company that applies an AI-enabled inference engine to take unstructured, “dark” data and turn it into structured (and more usable) information. We’ve heard from a single source that Apple has paid a price of around $200 million.


The deal was closed a couple of weeks ago, the source said, and about 20 engineers have joined the larger company.


A source first alerted us to this, and we’ve received the standard Apple confirmation. “Apple buys smaller technology companies from time to time and we generally do not discuss our purpose or plans".


Apple Acquires AI Company Lattice Data, A Specialist In Unstructured ‘Dark Data'


Lattice quietly raised at least $20 million funding from GV, Madrona and InQTel before exiting from stealth last year. Lattice was founded in 2015 and has largely remained under the radar, but it has a notable pedigree.


The company was co-founded by Christopher Ré, Michael Cafarella, Raphael Hoffmann and Feng Niu as the commercialization of DeepDive, a system created at Stanford to “extract value from dark data.”


The applications of the system are manifold: they can be used in international policing and crime solving, such as this work in trying to uncover human trafficking; in medical research; and to help organize and parse paleontological research. It also could be used to help train AI systems by creating more useful data feeds.


It’s unclear who Lattice has been working with, or how Apple intends to use the technology. Our guess is that there is an AI play here: Our source said that Lattice had been “talking to other tech companies about enhancing their AI assistants,” including Amazon’s Alexa and Samsung’s Bixby, and had recently spent time in South Korea.


Source: techcrunch

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