Difference Between AI and Machine Learning

Aspect	Artificial Intelligence (AI)	Machine Learning (ML)
Definition	AI is the broad science of making machines perform tasks that require human-like intelligence such as reasoning, problem-solving, perception, and language understanding.	ML is a subset of AI that focuses on enabling machines to learn from data and improve their performance over time without being explicitly programmed.
Scope	Encompasses all aspects of simulating human intelligence, including learning, decision-making, and adaptation.	Focused solely on learning patterns from data to make predictions or decisions.
Goal	To create smart systems that can mimic human thinking and behavior.	To enable machines to learn from past data and make accurate outputs.

Difference Between Human and Artificial Intelligence

Parameter	Human Intelligence	Artificial Intelligence
Definition	Human Intelligence is the mental quality to learn from experience, adapt to new situations, understand and handle abstract concepts, and use knowledge to manipulate one’s environment.	Artificial Intelligence is an area of computer science that deals with giving machines (Computers) the ability to seem like they have human intelligence. Practically, Robotic Machines are Programmed to Behave like Humans.
Signaling Method	It is totally based upon analog signals of work.	It is based upon digital system of numbers.
Reliability	Human Intelligence is reliable.	Artificial Intelligence is not reliable.
Working	Human Intelligence is natural and make up a thought by adding different mental processes.	It is based upon some working model that can behave like humans.