Artificial Intelligence:

A modern approach; Applications & Examples

Technology is rapidly changing the world around us, and everything now is at the click of a button. One such ease is further exemplified with the recent emergence of Artificial Intelligence. 

Introduction:

• Artificial intelligence is a machine-based smart behaviour rather than human and other animals’ natural intelligence (NI).
• AI is described in computer science as a’ smart agent’ research: “any device which understands its environment and takes action that maximizes its opportunity of succeeding. In general, terms, when a machine imitates “cognitive” functions that people associate with other human minds, such as “learning” and “problem-solving,” is when the term “artificial intelligence” applies.
• Artificial intelligence was established as an academic discipline in 1956 and has undergone a series of waves of optimism thereafter.
• To make it easy machines displayed intelligence is artificial intelligence.
• It is a computer science branch that deals with making computers or machines as smart as humans. John McCarthy invented the word in 1956 at the Massachusetts Technology Institute meeting in Dartmouth.
• It is a simulation of procedures of human intelligence like teaching (the collaboration of data and data rules), reasoning, or the self-correction by machinery (in particular, computer systems), using the guidelines for drawing approximate or clear conclusions.
• However, work is being performed in this field except for some cases of computers playing games quicker than the finest human players. For example, an IBM supercomputer called Deep Blue defeated Gary Kasparov in a chess match in May 1997.
• Another latest instance of 2016 is that AlphaGo, a Google-driven DeepMind AI program, has won one of Go’s most dominant players, Korean Lee Sedol.

Applications of Artificial Intelligence

Healthcare Sector

• Machine learning is used to diagnose more quickly, cheaply and accurately, thus improving patient results and decreasing expenses.
• For example, some of these instruments are IBM Watson and chatbots.

Business Sector

• Robotic process automation is implemented to take care of extremely repetitive tasks that can be performed quicker and more easily than humans.
• Furthermore, to provide better client service, machine learning algorithms are incorporated into analytics and CRM platforms.
• Workplace automation has also become a point of conversation between scholars and IT consultants like Gartner and Forrester.

Education

• AI can automate some of the instructional procedures, such as grading, rewarding marks, etc.
• It can also evaluate and adapt learners to their requirements, assisting them to function at their own speed.
• It may alter where and how some educators learn, maybe even replacing some professors.
• It could increase the reach of training and education institutes even in the remotest areas.

Financial

• It can be introduced to apps for personal finance and can collect private information and provide financial advice.
• For instance, ‘Wall Street’ software is more trading than humans.

Gaming

• In strategic games like chess, poker, tic-tac-toe, etc. AI plays a key role, where the machine can consider a big number of feasible positions based on trial-and-error understanding.