Machine Learning And The Future of Mobile Devices
Nils Forsblom wrote this on
Machine learning will play a potent role in the future of mobile devices
As we talked about in a previous blog post, your smartphone is replete with dozens of sensors that collect all kinds of information on three dimensional device movement, positioning and the outside environment. But most of the data those sensors collect comes in a raw form. It has no practical meaning on its own. And that is where machine learning steps in.
What exactly is machine learning? The field is immense with lots of different categories and subdivisions. But let’s start with a common, layman’s definition: Machine learning is a discipline of artificial intelligence that focuses on the development of algorithms that learn from and make decisions based on data.
Or, as machine learning pioneer Arthur Samuel defined it, machine learning is a “field of study that gives computers the ability to learn without being explicitly programmed.”
You may not be aware of it, but almost everything that happens online is driven by a type of machine learning algorithm. When you do a search, machine learning chooses the results you get. Amazon uses machine learning to recommend products. Netflix uses it to recommend movies. And Facebook and Twitter use it to choose which posts to show you.
Machine learning plays a big part in how intelligent our mobile devices are and how they interact with us. We believe machine learning will play an even bigger role in the future of mobile devices — and that is some of what we are working on at Adtile.
As machine learning algorithms become increasingly sophisticated, they will change how our mobile devices interact with us — our mobile devices will recognize gesture, motions and movement to higher degrees of accuracy and respond to our needs in ways we never imagined possible.
Machine learning algorithms have the potential to give personality to our mobile apps and devices. In future blog posts, we’ll talk more about how machine learning and sensors are working together to improve people’s lives, their health and their mobile experiences.