Mobile Overheating Issue: Causes and Fixes

In today's era, mobile has become the most important part of our life. We use mobile all the time - from making calls to studying, playing games, taking photos, watching videos, social media and even for work. But many times we see that our mobile gets very hot. Sometimes while charging, sometimes while playing games or sometimes even without any reason. If your mobile also gets heated again and again, then you do not need to worry. In this blog, we will know in detail why the mobile overheats, what can be its disadvantages and what are the ways to avoid it. Why does the mobile get very hot? There are many reasons for mobile overheating. Sometimes it is normal but if it heats up frequently or excessively then it is not right. Its main reasons are given below - longer term use If you use your mobile for hours continuously, like playing games, watching videos or making calls, then there is more pressure on the processor and it gets heated. Use while charging Using the mobile w...
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What's the Difference Between AI and Machine Learning?

Creating intelligent agents—systems that can perceive their surroundings, learn from past experiences, and make decisions to accomplish certain objectives—is the focus of the large subject of computer science known as artificial intelligence (AI). By essentially imitating human intellect, artificial intelligence (AI) enables robots to carry out activities that otherwise require human reasoning.

Difference Between AI and Machine Learning

In contrast, machine learning (ML) is a branch of artificial intelligence that focuses on techniques that let computers learn from data without the need for explicit programming. Machine learning algorithms find patterns in data and use those patterns to anticipate or decide.

Use this analogy to demonstrate the distinction:
  • The driver's license is AI: It's the general idea that a computer can carry out tasks in an intelligent manner.
  • The driving skill is machine learning, which is a particular method that allows a computer to pick up driving skills via practice and observation.





Important Distinctions:
  • Scope: Artificial Intelligence (AI) is a vast field that includes a variety of methods, such as neural networks, rule-based systems, and expert systems. ML, on the other hand, mostly uses algorithms and statistical methods.
  • AI's objective is to develop intelligent agents that are capable of simulating human intellect. The goal of machine learning is to create algorithms that let computers learn from data.
  • Methods: AI may employ a number of methods, including as neural networks, rule-based systems, and expert systems. To find patterns in data, machine learning mostly use statistical methods and algorithms.




  • Applications: AI is used in many different fields, such as robotics, computer vision, and natural language processing. Predictive analytics, speech recognition, and picture recognition are the main applications of machine learning.
Machine learning is a potent tool in the AI toolbox, even if AI covers a wider variety of methods and applications. We can better appreciate their potential to transform a variety of businesses and enhance our lives if we know the difference between the two. 

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