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The machine extracts "meaning" from vast quantities of what computer scientists call unstructured data, which essentially means anything designed to be consumed by humans rather than computers.
The forerunner to today's Internet, the ARPAnet, began with a first link between SRI and UCLA in 1969, and for years afterward only an elite group of engineers, scientists and students had any idea of what computer networking was.
"If we have more women and marginalized people participating in computer science, but the price of doing that is that they have to fit into the stereotypes of what computer scientists are, then that's not diversity," Wibowo told me.
"We believe that consumers should be able to freely access their favorite content and applications, regardless of what computer they have, what browser they like, or what device suits their needs," the letter reads.
The premise of what computer scientists call "fully homomorphic encryption," like many long-unsolved mathematical puzzles, sounds both simple and impossible: Can data be encrypted in a way that allows any calculation to be performed on the scrambled information without unscrambling it?
Kruszewski told me that it's early enough in the space that not everyone is fully aware of what computer vision is, but he wants to approach their computer vision engine in a manner similar to how Epic Games approached their video game engine, by helping build actual content to draw attention to their computer vision engine.
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This subtle point is all-important, and shows a need to return to the basics of what computers are for.
You'll need to be really good at judging, and being dispassionate, and you'll have to have a sense of what computers can and cannot do.
"I believe I have a fundamental understanding of what computers can do and what they can't do," he says, "where they can be used and where they shouldn't be used".
The Nevanlinna Prize, given for work in mathematical aspects of computer science, went to Daniel Spielman of Yale University for contributions in the areas of linear programming and error-correcting codes, which underlie much of what computers spend their time doing in business applications and telecommunications.
But "information" also includes descriptions of what computers do -- programs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com