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Day: October 15, 2018

  • At this point, I suspect most of us are aware that Microsoft is deprecating the win32 desktop version of OneNote, and will not be upgrading OneNote 2016 any further. Instead, Microsoft will be pushing the UWP OneNote app and will offer legacy users the option to upgrade to the newer version of the app. For power users of the OneNote app, this has been a worrying development as the UWP OneNote app lacks many features the older app has, including basic things such as the ability to Send to OneNote from Outlook for example. The good news is that Microsoft is committed to feature parity, and has been working at adding back such features, including adding the option of Sending to the Modern OneNote app. MSPowerUser
  • Windows 10 Mobile 1607, the Anniversary Update, was meant to go out of support a few days ago, but yesterday Microsoft updated their documentation to add another year to their support agreement. This means the OS, released in August 2016, will continue to receive security and non-security updates until the October 9, 2019 , and users will still be able to contact Microsoft for assistance and support. This is the second time Microsoft has extended support for the OS, the last time by 6 months in April 2018 MSPowerUser Interesting they keep extending this date.
  • Random number generators – or RNGs for short – are used in thousands of applications that we encounter every single day, from video games to bingo draws. The ability of a computer to randomly generate seemingly infinite but still random sequences of numbers is something that has been instrumental to technological progress over the past 50 years, allowing us to build the codes and architecture on which so much modern technology depends on. Although a seemingly simple and instantaneous process, the random generation of numbers is actually a complex and interlinked action, often determined by external factors. Here is exactly how RNGs work. The Basics The first thing you need to know is that there are two different types of RNGs: Pseudo-Random Numbers Generators (PRNGs) and True Random Number Generators (TRNGs). PRNGs are actually the most common type of sequence used by computers, despite that not being completely random in the same way that say, the roll of a die is. The sequence produced by the PRNG method is done via algorithms that make use of either mathematical formulas or pre-calculated lists. This has been described by Random.com as being “akin to rolling a die many times and writing down the results”. The order the numbers may appear in are random, but the numbers themselves are not actually random as they already exist in some form prior to generation. The other type is TRNGs. These can be described as “truly random” because they rely on a random, external factor to generate numbers. A common example, and one reportedly used by security agencies such as GCHQ, is the measuring of the radioactive decay of an atom, which has nothing to do with the computer itself. Since radioactive decay is impossible to determine, it is one of the few things in the universe that is...