Chrome OS will use ML to track user activity and brightness levels for better power management
Machine Learning is arguably the most invested software trend of the recent decade. Every manufacturer, developer, or startup wants a piece of it. The reasoning behind this is that it’s profitable, interesting, and actually useful, unlike some arguably pointless hardware trends. In current technologies, Machine Learning helps systems manage power, decide which apps to show in the drawer, conveniently suggest next actions, and more. That’s why I’m never surprised when I see yet another OEM or software company introducing ML capabilities into their devices and platforms. Google is arguably the biggest ML player in the industry right now. Almost everything they own, starting from web services, continued with applications and operating systems, and ending with devices, have some kind of Machine Learning in them.
You can only imagine that Google is still not going to stop there. Apparently, Chrome OS is also gaining some ML capabilities. The adaptive display has been a thing on our smartphones ever since the term “Machine Learning” got popular. It looks like Chrome OS will soon get a much smarter version of it. Power ML (which is the codename of this particular feature set) will securely and efficiently track user activity to determine the brightness levels required for specific scenarios. Conveniently controlling the amount of light the device produces will help it save much power.
All of these features remind me of Adaptive Display and Adaptive Battery, which were introduced/reworked in Android Pie last year. There are many details in the Chromium repository. Apparently, Google started working on this feature in March of 2018, but it received an update just a few days ago. We currently don’t have any clue about the release of this feature. It may or may not make into the next major version of the system, which would be Chrome OS 73.
Source: Chromium Gerrit