Google is Working on Android to use in PCs
Google continued to focus on mobile transformation by preparing Android which is the World’s most mobile operating system for the PC’s.According to reports from different sources,Google will combine Chrome OS with Android, after that the new integrated OS will launch in 2017.
Google continued to focus on mobile transformation by preparing Android which is the World’s most mobile operating system for the PC’s.According to reports from different sources,Google will combine Chrome OS with Android, after that the new integrated OS will launch in 2017.
Google started to work combining Chrome OS and Android two years ago.The new Operating system will be promoted in next year and cooperate with the manufacturers.
This decision could be understand that the victory of Android against to Chrome OS which developed and oriented web browser.Android is now used in more than one billion devices worldwide, on the other hand Chrome OS does not exceed 3 percent penetration in the PC market.This situation remains a point of weakening the hand for the Google to encourage application developers to use Chrome OS.
But you have to remember that Google’s Chrome preferred an experimental way.In 2009, When Chrome OS was introduced, Google co-founder Sergey Brin forced to convince people about the necessity of two different operating system.Hovewer he said we will combine them in next years.
Chrome OS is temporarily in use. but will stay behind.The vice president Hiroshi Lockheim who responsible for Chrome OS said that Chrome OS will stay as open source and much more momentum for the Chromebooks.
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Daniel Okafor
Daniel Okafor is the Senior AI Reporter at TrendinTech, where he covers large language models, machine learning research and the practical use of artificial intelligence across business and government. He previously reported on artificial intelligence for MIT Technology Review, covering the labs behind the current generation of frontier models and the policy debates in Washington and Brussels. Daniel holds a Master of Science in Machine Learning from Carnegie Mellon University and follows the research community closely, attending NeurIPS and ICML each year to speak with the people behind the papers. He has a particular interest in evaluation: how models are benchmarked, where those benchmarks fail and what that means for the companies betting on them.
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