Archive for June, 2010

Microsoft debuts data visualization tool

June 30th, 2010

Microsoft has released a controller for its Silverlight multimedia software that can present dynamic visual summaries of large data sets in Web browsers.

Developed by the company’s Live Labs research group, PivotViewer can visualize large collections of data in such a way to make them easier to order and analyze.

The software can offer a high-level summarization of the data and allow viewers to swoop down to inspect individual data elements in finer detail. The data visualization can also be easily reorganized depending on conditions set by the user, hence the word “pivot” in the name.

“It’s more about using the content as the [user interface] rather than using controls or menus,” said PivotViewer engineer Brett Brewer in a video posted by Microsoft.

Microsoft debuted the technology at its Professional Developers Conference last November and demonstrated it during the TechEd conference earlier this month, during the keynote of Bob Muglia, who is president of Microsoft’s Server and Tools Business.

The demos usually show PivotViewer operating in a browser, with the left-hand side of the screen devoted to a set of check boxes that can be used to filter the data set, and the rest of the page devoted to organizing small icons, each of which represents a particular piece of data.

The data visualization technology could be used for business intelligence, Web site navigation, and as a conduit for content management companies to easily present their libraries to users, Microsoft asserts.

The technology has at least one early adopter. The U.K. wedding planning site Hitched uses PivotViewer as part of its wedding venues visual search.

PivotViewer includes application programming interfaces (APIs) to allow designers to customize the control of the viewer. Data collections must be described in XML and include icons for each element, according to the software’s technical documentation. The data then can be placed on a Web server, where it can be accessed by any browser running Silverlight and the viewer.

Source:-http://www.pcworld.com/businesscenter/article/200185/microsoft_debuts_data_visualization_tool.html

Qmarkets wins grant for prediction market software

June 30th, 2010

The amount of the grant, which comes from a programme run by the Ministry of Industry and Trade, has not been disclosed.

The government will receive commissions from sales of the new software not exceeding the value of the grant.

Qmarkets said the new version of its software, to be released in August, will be more accurate, easier to use and will offer tailored solutions for different types of users, including market researchers, risk analysts and sales forecasters.

The firm aims to avoid the complexity often associated with prediction markets, and make the software accessible to “any employee or customers in the world”.

Noam Danon, CEO and founder of Qmarkets, said the firm had learned from the feedback it has received from customers of its software over the last few years.

“We plan to apply these lessons to the new product, and I’m sure it will enable us to make prediction markets a common management tool for making better decisions,” he said.

Qmarkets is headquartered in Israel, with sales offices in the UK and Australia.

Source:http://www.research-live.com/news/qmarkets-wins-grant-for-prediction-market-software/4003048.article

Ancient language deciphering systen could help translation software

June 30th, 2010

A computer system designed to decipher ancient language could online translation software like Google Translate.

MIT BOFFINS have designed a language mapping system that translated an ancient Semitic language called Ugaritic in a couple of hours. The MIT researchers also reckon that their translator works very similarly to machine translation, so it can be used in conjunction with translation software.

The system assumes that languages’ alphabets, cognates and words can be cross-mapped because they’re related. The team used Hebrew to open up the secrets of Ugaritic along with some AI probabilistic modelling chucked in for good measure.

The team mapped competing hypotheses for the symbol frequency of prefixes and suffixes. This was then fed though probabilistic modelling until its consistency could be refined no further.

“We iterate through the data hundreds of times, thousands of times,” said MIT graduate student Ben Snyder.

“And each time, our guesses have higher probability, because we’re actually coming closer to a solution where we get more consistency.”

While it won’t replace human intuition in deciphering scripts, it could be the perfect tool for automatic software translation. Online translating tools like Google translate also use a similar system. They look for consistent mapping beween words by analysing parallel texts in different languages.

Source:http://www.theinquirer.net/inquirer/blog-post/1720042/ancient-language-deciphering-systen-help-translation-software

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