Wolfram Alpha LLC has announced the general availability of Wolfram|Alpha, the world's first computational knowledge engine, offered for free on the web.
The company is the brainchild of Stephen Wolfram, distinguished scientist, inventor, author, and business leader. He is the creator of ''Mathematica,'' the author of ''A New Kind of Science,'' the creator of Wolfram|Alpha, and the founder and CEO of Wolfram Research.
Wolfram|Alpha draws on scientist Stephen Wolfram's groundbreaking work on ''Mathematica,'' the world's leading technical computing software platform, and on the discoveries he published in his paradigm-shifting book, ''A New Kind of Science.''
Over 200,000 people from throughout the world have contacted the company to learn more about Wolfram|Alpha since news of the service first surfaced broadly in March.
The long-term goal of Wolfram|Alpha is to make all systematic knowledge immediately computable and accessible to everyone. Wolfram|Alpha draws on multiple terabytes of curated data and synthesizes it into entirely new combinations and presentations. The service answers questions, solves equations, cross-references data types, projects future behaviors, and more. Wolfram|Alpha's examples pages and gallery show a few of the many uses of this new technology.
''Fifty years ago,'' said Stephen Wolfram, the founder and CEO of Wolfram Research, "when computers were young, people assumed that they'd be able to ask a computer any factual question, and have it compute the answer. I'm happy to say that we've successfully built a system that delivers knowledge from a simple input field, giving access to a huge system, with trillions of pieces of curated data and millions of lines of algorithms. Wolfram|Alpha signals a new paradigm for using computers and the web."
Wolfram|Alpha is made up of four main "pillars" or components:
- Curated Data. Wolfram|Alpha contains terabytes of factual data covering a wide range of fields. Teams of subject-matter experts and researchers collect and curate data, transforming it into computable forms that can be understood and operated on by computer algorithms.
- Dynamic Computation. When Wolfram|Alpha receives a user query, it extracts the relevant facts from its stored computable data and then applies a collection of tens of thousands of algorithms, creating and synthesizing new relevant knowledge.
- Intuitive Language Understanding. To allow Wolfram|Alpha to understand inputs entered in everyday language, its developers examine the ways people express ideas within fields and subject matters and continually refine algorithms that automatically recognize these patterns.
- Computational Aesthetics. Wolfram|Alpha also represents a new approach to user-interface design. The service takes user inputs and builds a customized page of clearly and usefully presented computed knowledge.
Wolfram|Alpha contains nearly six million lines of ''Mathematica'' code, authored and maintained in Wolfram Workbench. In its launch configuration, Wolfram|Alpha is running ''Mathematica'' on about 10,000 processor cores distributed among five colocation facilities, using gridMathematica-based parallelism. And every query that comes into the system is served with webMathematica.
"Wolfram|Alpha is an extremely powerful way of harnessing the world's knowledge. Now, anyone with web access can tap into that knowledge to find relevant information and discover new insights," said Theodore Gray, co-founder of Wolfram Research.
Powering Wolfram|Alpha's computational knowledge engine required highly-specialized servers and compute clusters. An innovative approach helped speed deployment, lower total cost of ownership, and reduce the environmental impact of the system's compute clouds.
Dell's Data Center Solutions (DCS) Division worked with R Systems NA, inc., Wolfram|Alpha's data-center hosting partner, to identify the right customized cloud computing solution and tune it to R Systems' facility, operating processes, and application workload.