Sentence examples for different kinds of computers from inspiring English sources

Exact(9)

There is no single computational model of mind, since different kinds of computers and programming approaches suggest different ways in which the mind might work.

Java is an advanced programming language that was originally designed to make possible the use of programs on many different kinds of computers easily.

Squeak was designed to be a complete computer programming environment that allows children to create their own complex computer programs, rich in sound and graphics and capable of running on many different kinds of computers.

Modulus, founded in the 1990's, had created a programmer's tool kit called InterAgent that was used to simplify the building of complex programs that linked different kinds of computers and operating systems.

"You go a couple miles north, to Google and Facebook, and people build their software a very different way – highly compartmentalized, and able to run across lots of different kinds of computers, sometimes thousands of them" he added.

That cross-platform compatibility makes StarOffice an attractive proposition to companies and educational institutions that have a mish-mash of different kinds of computers on their networks.

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Similar(51)

At the time, different kinds of computer hardware ran different operating systems.

"By the time I finished, I knew what happened in about two hundred different kinds of computer chips," he told me.

Corporate customers are insisting that technology companies adopt industry-standard software formats and communications protocols, so that the many different kinds of computer systems in corporate data centers can work together.

All our elections, from mayor to President, are counted locally, in about ten thousand five hundred political jurisdictions, and gradually, since 1964, different kinds of computer-based voting systems have been installed in town after town, city after city, county after county.

Freely available, these frameworks serve as starting points for building machine learning systems to service different kinds of computer vision functions, from facial and emotion recognition to medical screening and large obstacle (read: deer) detection in cars.

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