The next biannual update for Windows 10 will use machine-learning models to make auto-restarting updates a little less disruptive. The models will try to predict when you will likely return to your PC and not update when you are expected soon.
In earlier versions of Windows, it was common for systems to be compromised by months fixed errors because Windows users delayed the installation of these updates or even completely disabled Windows Update. Windows 1
Currently, Windows detects that you are not in your system (mouse and keyboard idle and no video or similar video playing) and reboots during these idle moments. At the moment, however, the system does not distinguish between a quick exit from the machine, a cup of coffee, and hours of walking because you've left the office or gone to bed. This has led to a certain complaint as the updates interrupt the work.
With the new predictive system, Windows will try to distinguish between these two cases, and it will avoid updating if the absence is expected to be short. This should turn the situation of return to your computer, coffee cup in hand, only to fix it in the middle of the reboot. Microsoft says that the model has proved effective in internal testing and that it continues to be trained and updated based on user feedback.