How Machine Learning Works in Smartphones and its real-time applications.

If Machine learning algorithms have more than 3 layers, we can call it Deep Learning, a subclass in Artificial Intelligence. The hierarchy will be, AI the superclass, then Machine Learning and deep learning. Most of the AI systems now use deep learning algorithms. 

Implementation 

A neural network recognises mathematical patterns in a given data and saves it as a parameter, or a correlation coefficient( A fractional number). This process is called training. After training, the neural network is implemented in the server. The neural network will identify the pattern when data passes through it. Most of the time these parameters are saved in the remote server and your phone simultaneously. 

To run a neural network, we need to simulate an environment that can host thousands of matrix multiplications in seconds. Modern smart devices accommodate this computing load in the CPU. Some devices have special neural engines and GPUs for this purpose only. 

Uses

• Optimization.

Your device is a sophisticated artificial intelligence machine, it uses Artificial intelligence for adjusting lighting, volume, allocation of memory and storage etc. 

• Personalization 

Most of the time your device will set a personal environment for you. It'll adjust colour schemes, animations, etc. It'll also help in predictive texts, voice recognition etc. 

• App Recommendations 

The apps recommended by the Play Store are entirely person-centric. The recommendations are based on your usage patterns and tastes recognised by the AI. 

• Camera / AI-enhanced photography. 

Today's camera quality and beautification are a straight byproduct of artificial intelligence enhancement. We can now use various filters, enhancements and adjustments thanks to AI. 

• Voice assistants and AI agents. 

Voice assistants like Siri, Google Assistant, etc need real-time AI processing for functioning. The AI core will help learn user preferences, improve response time etc. 

Overall the AI helps in creating a smoother overall experience for smartphone users. And also provides a huge amount of metadata to service providers to optimize performance, advertisement strategies and product planning.