Small screen machine learning

Machine learning has quickly become a hot topic in information technology. And while it’s changing the game in a big way right now, it’s actually been hanging around the tech and innovation scene for a number of years. Apple, for example, first released Siri in 2011 but, years earlier, had begun experimenting with consumer-driven machine learning.

The iPhone and machine learning

Today Siri is woven into our daily experiences and while we are likely to overlook the sophisticated technology, the artificial intelligence and machine learning aspects are truly remarkable and truly ubiquitous in every aspect of our favorite virtual assistant. At its most basic level, Siri allows:

• Identity of the caller using emails and not just a contact list

• Swipe the screen to get a short list of apps you are most likely to use

• A reminder of an appointment that is not on your calendar.

• Maps showing the location of the hotel where you have a reservation before asking

• Updates on where you last parked your car and where you parked your car

• Selected news stories

• Recognition of faces and locations based on photos.

• When to switch from using a weak Wi-Fi signal to a cellular network

• Use photos and videos to create a spontaneous mini movie

According to reports on Apple’s use of artificial intelligence, the dynamic cache that allows an iPhone to learn occupies around 200 megabytes, depending on the amount of personal information that is also stored. The system is always deleting older data, so there is enough storage space.

Also, search engines, including Google, use Google Now on your smartphone to process queries. For example, he knows that you are listening to a particular song when you ask “Who is the lead singer?”

The AI-powered application revolution

That’s just one app – AI is also driving the reinvention of mobile apps as a whole. For example, AI-powered mobile fitness apps will be able to continuously track your activities without your input. This allows these apps to instantly track every step you take and monitor your heart rate continuously.

Another quick pop-up app? Leveraging artificial intelligence to allow your smartphone to authenticate your identity, making passwords and PIN codes obsolete. This could be done through facial recognition or a variety of other unique identifiers.

In these use cases, the process is the same: machine learning algorithms are used on smaller screen devices. As technology expands, more and more memory and battery power are required for processing. As a result, the data must be transferred to a server to allow the algorithms to work. The system is always deleting older data, so there is enough storage space.