Launched recently finally. It is catching up with AWS, Azure and IBM Bluemix and much later than PTC etc. But it has data for analytics that can propel it faster to realistic use cases deployment!.
With Ubuntu 18.04 your familiar Unity interface will be dead. I had love-hate relationship with it when it was introduced in 12.04, I have been using GNOME 1/2 from Ubuntu 8. With Microsoft Windows 8 mimic-ing Unity (right side pop-in menu) Unity seems more comfortable with my personal laptop on Ubuntu and official one on MSFT.
With 16:9 monitors Unity did provide lot of real estate for multiple screens (4 terminals) to be opened comfortably, two documents/browsers for comparisons etc. With the left side menu hidden full screen is practically for the apps. Dash is still something that’s inconsistent in it’s behaviour, will not miss it.
Was not a big fan of GNOME either but hopefully it will look similar to Unity interface that has been comfortable for many when 18.04 is released to smooth out transition to the back to the past windows manager!. It brings back the thought of trying to use the multiple workspaces/terminals that was popular in GNOME..
More on the reasons of the going back here written by Mark Shuttleworth, founder of canonical the creator of Ubuntu.
Sad to hear it go!.
Update [11Apr] : Looking at it from positive perspective here
is the home for all Google’s open source projects, more than 2000 projects listed here.
To quench the hunger of people waiting in between stable releases for testing their hardware features and software improvements, Linus Torvalds himself has implemented the concept of Mainline Kernel that will be in between prepatch(RC-Release candidates) and the stable releases that can be considered short term stable releases for testing.
This will last for 2-3 months before it moves to stable one, for now 4.10 is considered to be in that mode!. More about this in the Kernel releases page.
Adding CLI capabilities to Python is ‘Fire’ from Google team. Check out more here.
Useful to directly getting the data from command line to variables and make the code more readable also apart from reasons mentioned in blog.
In the keynote address at HIMSS17 last week, IBM CEO mentioned three goals that should drive efforts on Deep learning and AI solution development:
1 Augment people and not replace
2 How and who trained the data, what was Business value that drove that.
3 New Collar jobs, data driven workforce.
Sounds common for other areas too!
Intel’s Xeon E7-8894 v4 is mega server chip with 24 cores, 60MB of cache and a max clock frequency of 3.4GHz!. Cost : $8,898 per chip!.
Next one is Xeon E7-8890 v4, which is priced at $7,174, more here.