Age of AI- An interdisciplinary science with multiple approaches

It all started with a question, “Can a machine think?” asked by English Mathematician Alan Turing back in 1950. Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. As big-budget movies have typically connected AI with robots, but nothing could be further from the truth.

Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. The application of the technology is immeasurable and perpetual.

AI is being tested and used in the health care industry for dosing drugs and different treatment in patients, and for surgical procedures in the operating room. The other usages of AI are retail, manufacturing, banking, and many more.

How virtual digital assistants such as Alexa, Siri, and Cortana respond to our queries, is the finest example of AI. With the rate at which technology is improving it is logical to believe AI will continue to get more and more sophisticated. 
 
As Artificial Intelligence is expanding its value as we live in a world that is
technologically reliant than ever before, it is attracting students to pursue their careers in this particular field. Machine learning is a subset of Artificial Intelligence.


Brainware University offers B.Tech. degree in Artificial Intelligence and Machine Learning. It aspires to bridge the gap between the theoretical understanding and practical applications of electronics and communication technology. It wants to focus on research and development for the benefit of mankind and advanced society.

With the best of the facilities like Electronic Devices Lab, Digital System Design Lab, and many more, the University enriches the students with the best knowledge of the domain. 
Career options after completing the degree 
 Business Intelligence Developer
 Data Scientist
 Machine Learning Engineer
 Research Scientist
 AI Data Analyst

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