Attacking Safari, Opera Mini iPhone Invasion
Success provides a browser for Java-based mobile devices to make it the most popular, now Opera began expanding into a number of platforms that started up the leaves. Not only Symbian and Windows Phone to explore, but the Android and the iPhone also worked well.
Opera Software is headquartered in Oslo, Norway, plans to announce Opera Mini for iPhone at an exclusive preview to the press and our partners at the Mobile World Congress (MWC) 2010 in Barcelona on 15-16 February 2010 to come, opera Mini that can run on almost all standard mobile phone that supports Java, is now available for Symbian and BlackBerry mobile phones.
Based on the results, Opera Mini for iPhone is claimed six times faster than the browser load, Safari, and can save up to 90 percent of data per MB. This is because Opera Mini’s compression technology which is supported very effectively so that they can load web pages faster and reduce the cost of data usage. Read the rest of this entry »
Google Develops Automatic Voice Translator
It would be fun if everyone could anyone call each other without language barriers. Dream realized this is what Google’s trying to develop automated voice translator that will translate one language to another. Franz och as Head of Service stated that the Google translator, voice translator we thought the sound might be and can be realized within a few years and he believed the voice to voice translator possible if the accuracy of voice recognition engines and improved language translator again. He said Google was doing research to make it happen in the next few years.
Google website currently has a translator service for 52 languages in the world with sleuruh database be added accuracy. In addition, Google also has a voice recognition engine currently used in the search service applications on smartphones. The system was developed to combine the two technologies and using Google’s current database indexing languages from various sites around the world. However, recognition is not easy to make machine translation because each speaker’s voice had a dialect, accent, and how to talk different.
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