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Latest Xen Project Blog Posts

Future of Xen Project: Video Spotlight Interview with Xen Project’s Chairperson Lars Kurth

Lars Kurth had his first contact with the open source community in 1997 when he worked on various parts of the ARM toolchain. He has since become an open source enthusiasts, worked on several open source communities, and is the chairperson of the Xen Project Advisory Board. He is also the Director of the Xen […]

Xen Project 4.4.4 Maintenance Release is Available

I am pleased to announce the release of Xen 4.4.4. Xen Project Maintenance releases are released in line with our Maintenance Release Policy. We recommend that all users of the 4.4 stable series update to this point release. Xen 4.4.4 is available immediately from its git repository:     xenbits.xenproject.org/gitweb/?p=xen.git;a=shortlog;h=refs/heads/stable-4.4     (tag RELEASE-4.4.4) or from the Xen Project […]

Why GlobalLogic Uses Xen (Overheard at CES)

We were lucky to have the opportunity to meet up with GlobalLogic at CES and talk to them about their Nautilus platform for automotive virtualization. A few years ago, no one understood why the company was demoing hypervisor technology as a part of Nautilus, a set of solution accelerators that includes architectural concepts, a modified […]

Latest Planet Blog Posts

Support software freedom now!

Free Software is in a critical state today. Bradley Kuhn recently has made an urgent call for supports of free software to help a campaign to strengthen both the Free Software Foundation and Software Freedom Conservancy, specially given if you donate before January 31st 2016 as your donation will be matched! I've learned the hard way that without such organizations we could be in for a dark age on user software freedoms. No other entity is doing what they do and they are both of critical importance to the community. Because of this I'm not only contributing now but I've...

Training neural network using genetic algorithm

Over the last few years we observed the raise of artificially intelligent applications, which showed almost super-human ability to solve difficult problems. A closer look reveals that deep neural networks is what drives this wave.