Computers  

At this year's SXSW Conference, Stephen Wolfram introduced Wolfram Language.  Now, video of his presentation shows some of  the profound implications of this new technology.

Imagine a future where there's no distinction between code and data. Where computers are operated by programming languages that work like human language, where knowledge and data are built in, where everything can be computed symbolically like the X and Y of school algebra problems. Where everything obvious is automated; the not-so-obvious revealed and made ready to explore. A future where billions of interconnected devices and ubiquitous networks can be readily harnessed by injecting computation.

"Of the various things I've been trying to explain, this is one of the more difficult ones."

That's the future Stephen Wolfram has pursued for over 25 years: Mathematica, the computable knowledge of Wolfram|Alpha, the dynamic interactivity of Computable Document Format, and soon, the universally accessible and computable model of the world made possible by the Wolfram Language and Wolfram Engine.

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"Of the various things I've been trying to explain, this is one of the more difficult ones," Wolfram told Wired recently. What Wolfram Language essentially does, is work like a plug-in-play system for programmers, with many subsystems already in place.  Wolfram calls this knowledge-based programming.

Wolfram Language has a vast depth of built-in algorithms and knowledge, all automatically accessible through its elegant unified symbolic language. Scalable for programs from tiny to huge, with immediate deployment locally and in the cloud, the Wolfram Language builds on clear principles to create what Wolfram claims will be the world's most productive programming language.

In the video above recorded at SXSW this year as he introduced Wolfram Language, Wolfram discusses the profound implications of this new future on product development, industry, and research, and demonstrate new technology that will soon be part of our present.


SOURCE  SXSW

By 33rd Square

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 Programming  

Stephen Wolfram has unveiled Wolfram Language, a highly developed knowledge-based programming language that unifies a broad range of programming paradigms and uses its unique concept of symbolic programming to add a new level of flexibility to the very concept of programming.

Stephen Wolfram has introduced the Wolfram Language in this video that shows how the symbolic programming language enables powerful functional programming, querying of large databases, flexible interactivity, easy deployment, and much, much more.

Wolfram Language, is totally symbolic, heavily natural, intensely knowledge-based, and extremely large computer programming language.

"Once things are symbolic," says Wolfram, "its easy to do things like Meta-operations on them."  Along with this, he demonstrates a dynamic version of a plot, generated from a sparse and easily understandable bit of code. "Because everything is a symbolic function, it all just works."

Proceeding, Wolfram demonstrates an example of graphing his web bookmarks:

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“I’ve been working towards what is now the Wolfram Language for about 30 years,” Wolfram says in the video above. “But it’s only in recent times that we’ve had what we need to create the whole Wolfram Language.”

Wolfram Language is not yet released, but will be embedded on upcoming Raspberry Pi micro-computers. It’s already widely used within Wolfram’s Mathematica computing environment for scientists, and it is also deployed to Wolfram Alpha’s cloud services as well.

Wolfram Language contains may machine learning algorithms as well, which may impact data classification dramatically.  He calls these superfunctions, that essentially let you treat many aspects of programming as a computational 'black box.'

Wolfram Language Machine Learning example

In these early days it will be interesting to see what emerges from the Wolfram Language.  These are undoubtedly powerful tools.


SOURCE  Venture Beat

By 33rd Square

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