Types of AI and its relation with ML and deep learning.

•  Till now there are only two major types of AI we need to concern ourselves with, those are:
• Weak AI and Strong AI.
• The main example of the weak AI is Alexa which is taught to do a particular job.
• The weak AI systems do not include any complex neural nets or that cutting-edge type of thinking software technology to make decisions based on their past experience or any sort of algorithm.
• The most dominant part of AI right now is the weak AI.
• The weak AI is only concerned about the fact that it has been taught to do and does not respond to any other sort of questions asked.
• The strong AI is that part of AI that has ots own thinking ability and a highly developed neural network system.
• This part of Ai is most dominantly shown in the Avengers movie where U
  
  
  LTRON is the super bot who develops emotions.
• Though very promising steps have been taken in the field of strong AI still it is too far away from the expectation.
• TILL NOW AI IS WORKING WITH US BUT WITH THE MATURATION OF TECHNOLOGY WE CAN ONLY WAIT AND WATCH WHAT THE FUTURE OF AI HOLDS FOR US.
• Stephen Hawkings said:
• THE REAL RISK WITH AI ISN'T MALICE BUT COMPETENCE. A SUPERINTELLIGENT AI WILL BE EXTREMELY GOOD AT ACCOMPLISHING ITS GOALS, AND IF ITS GOALS ARNT ALIGNED WITH OURS, WE ARE IN TROUBLE.

RELATION OF AI, ML, AND DEEP LEARNING:

• Machine learning is a technique to achieve AI.
• Deep learning is a subset of machine learning.
• Machine learning provides machines with compatibility to learn from data and algorithms.
• Deep learning does the same by the way humans do, which means through deep learning data patterns can be better perceived.