Colloquially, 'artificial intelligence' is the intelligence
exhibited by machines or computer software. When machines reason, learn and
solve problems in the same way as intelligent humans do, it is referred to as
artificial intelligence. AI is accomplished by studying how human brains think,
decide and function, in diverse work domains. The outcomes of this study is
used to develop highly intelligent computer programs or robots. Machine
Learning, on the other hand, is a subset of AI. It is a type of AI which looks
for data to perform a task without being explicitly programmed.
AI is a broader concept and it has been around for quite long now.
The idea behind developing AI was to automate day-to-day services in a wide
range of sectors such as healthcare, banking, manufacturing, and more. AI
programs are meant to provide answers to general questions. It is programmed to
parse data from huge volumes of information, make new modifications by putting
together independent data sets and deliver answers as efficiently as possible.
AI is classified into two groups, namely 'applied' and 'general'.
Manoeuvring an autonomous car would fall in the category of Applied AI. Whereas,
generalised AI performs tasks which are less common. This is the area which
gave rise to Machine Learning. In other words, ML is a branch of AI. ML uses
the technology of AI, but in an advanced manner. ML does not need hand-coding
software routines for it to function. It is 'trained' to use large amounts of
data to accomplish a specific task.
