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Showing posts from September, 2016

Future of transport

                                 Maglev trains need  cost Expensive infrastructure. That is nothing but it wants high-power supply and copper coils.To reduce these things the new transpotation technology is developed by SPACEX organization.It is low-cost  and it is very faster in speed while comapre to Maglev tarins. This technology is named as HyperLoop.The speed of this hyper loop is 1200 km/h.                                                              The reason behind  they named this to HyperLoop is train travel in the  tube's.All the infrastructure which is needed to this technology is placed in tubes.The first Hyper Loop preliminary design was released in the year of 2013 between Los Angeles to San Francisco area.In the year of 2016 MAY 13 it was successfully tested in Nevada(USA).    HYPER LOOP           Now so many of the countries were proposing this Hyper Loop technology.The European routes was put forward in JANUARY 2016 Between Amsterdam to Paris notional

IBM watson future of super computer

Watson is an IBM supercomputer that combines artificial intelligence ( AI ) and sophisticated analytical software for optimal performance as a “question answering” machine. The  super computer   is named for   IBM ’s founder, Thomas J. Watson. The Watson supercomputer processes at a rate of 80  teraflops  (trillion floating-point operations per second). To replicate (or surpass) a high-functioning human’s ability to answer questions, Watson accesses 90 servers with a combined data store of over 200 million pages of information, which it processes against six million logic rules. The device and its data are self-contained in a space that could accommodate 10 refrigerators. Watson's key components include: Apache  UIMA (Unstructured Information Management Architecture)  frameworks , infrastructure  and other elements required for the analysis of  unstructured data . Apache's  Hadoop , a free,  Java -based programming framework that supports the processing of large data