It describes the action of machines accomplishing tasks that have historically required human intelligence.
It includes technologies like machine learning, pattern recognition, big data, neural networks, self algorithms etc.
The origin of the concept can be traced back to the greek mythology, although it is only during modern history when stored program electronic computers were developed.
Example: Million of algorithms and codes are there around the humans to understand their commands and perform human-like tasks. Facebook’s list of suggested friends for its users, a pop-up page, telling about an upcoming sale of the favourite brand of shoes and clothes, that comes on screen while browsing the internet, are the work of artificial intelligence.
A Complex Technology: AI involves complex things such as feeding a particular data into the machine and making it react as per the different situations. It is basically about creating self-learning patterns where the machine can give answers to the never answered questions like a human would ever do.
AI is a Different Technology
AI is different from hardware driven robotic automation. Instead of automating manual tasks, AI performs frequent high volume computerised tasks reliably.
AI is often misunderstood for machine learning. AI is a broader concept with a bunch of technologies that include machine learning and other technologies like natural language processing, inference algorithms, neutron networks etc.
In the year 1956, American computer scientist John McCarthy organised the Dartmouth Conference, at which the term ‘Artificial Intelligence’ was first adopted. From then on, the world discovered the ideas of the ability of machines to look at social problems using knowledge data and competition.
There used to be several dedicated projects on the same and the government was funding the research.
Every aspect of science and especially when one starts looking at empowering machines to behave and act like human beings, the questions of ethics arise. About 70’s and late 80’s there was a time when the governments stopped funding research into AI.
AI experienced a resurgence following concurrent advances in computer power and large amounts of data and theoretical understanding in the 21st century.
AI techniques now have become an essential part of the technology industry helping to solve many challenging problems in computer-science. From Apple Siri to self driving cars, AI is progressing rapidly.