A quick scan of the top-ten articles on Ars Technic’s Top Stories section reveals an abundance of talk about the potential benefits of the AR-platform.
One such article by a company called ARX Technologies claims that the AR is a new “world class computing platform” that is “unique in its ability to enable massive parallel computing on the internet” as well as a new way of “discovering, exploring, and analyzing data.”
ARX’s CEO, John C. Bowers, says that AR will “be the most ubiquitous computing platform of our time,” while one article from Intel’s Research Lab claims that “it will enable us to explore the inner workings of human consciousness and to discover new ways to interact with the world.”
Bowers says that the future of AR “will be computing” in some form.
The fact that these articles are written by people with deep knowledge of technology is a testament to the fact that the “next big thing” is really just a new form of computing.
And while it’s true that there is much talk about AR and AR-based technologies, there’s no evidence that any of these technologies are going to radically change the way we work, shop, or travel.
In the meantime, though, AR is just the latest iteration of a field that has been evolving for decades.
Many people today see “information processing” as the first step in any form of computation.
As far back as the 1920s, it was already possible to process large amounts of data with a hand-held radio and a piece of paper, but there was little evidence that computers could handle these types of tasks.
As a result, it wasn’t until the mid-1960s that a handful of research groups developed a set of general-purpose microcomputers, or GPGPUs, that allowed computers to handle large amounts.
In addition, researchers developed a series of “computer hardware” that could be used to create digital “digital-signature” encryption schemes.
These GPGPS made possible new types of digital data processing that enabled new types, new kinds of data analysis, and new kinds, like the “Internet of Things.”
As these devices got more powerful, so did their abilities to process and analyze this new data.
In the late 1970s, IBM began building the first personal computers that could process digital signals, but the process required a huge amount of computing power.
In fact, IBM’s computers would need to be powered for more than 10 hours a day to run the algorithms in their GPGPGPU processors.
The only thing that was truly new in the 1980s was the advent of the personal computer, which brought the concept of digital signal processing to the mainstream.
The idea of processing data in an entirely new way was first presented in 1987 by Alan Turing, who famously coined the phrase “the greatest achievement of the human intellect” when he proposed that we should be able to “make computers do anything we want them to do.”
Turing also argued that computers would be able “to make any information they want to do” and, therefore, that we could “program them to behave like any human being.”
At the time, it sounded like a grand idea, and the idea that we might be able make machines do anything that humans could do was a great one.
But there’s one problem: The Turing machine was not yet available.
Today, computers are the most powerful computers ever created, but we still don’t have a good way to control them, or to even program them to think like a human being.
For years, researchers have tried to design machines that can “think like humans,” but they have never been able to do so.
As the term “digital” is used to describe information processing, “digital computation” has a more specific meaning: processing that involves data processing on a digital signal rather than on paper.
This term, which has been applied to digital computers since the late 1990s, comes from a group of people who want to make digital computers do things that are similar to what humans do.
In addition to its role in computing, digital computing also has an important place in our lives today.
Digital computers are able to access data, and even store and analyze it, at a much higher level than digital devices like the ones that make up the internet.
These digital devices are called “digital assistants,” and they are designed to understand our language and speak to us in ways that are more natural than our physical bodies.
A digital assistant like Siri can understand your questions about music, your favorite movie, and other things, and it’s capable of answering questions about the weather, the weather forecasts, and so on.
If a digital assistant doesn’t understand a question you’re asking, you can ask it again and again until it understands the answer.
The digital assistant that’s been created by IBM is called Watson, and while it can “read” your questions, it is not able to perform the kinds of calculations and reasoning that humans perform. Watson has