1. Genesis of Coronavirus



A day when a sudden sickness arrived in the world , causing everything to termination.

“What is this a small bug, which gave a full stop to the world?” , everyone screamed !

A bug , which seem to be small but was not , put the whole Earth to stand still.

Blotting out of millions of lives and becoming the worst dread among the alive , this virus got high and high.

“Stay safe and stay home” , became the greeting word of the year 2020.

In place of juices and canned food people started purchasing Sanitizer and mask from the malls.

“Keep your food stocks in ample shortage” , was warned by the government again and again to avoid going out of the houses.

The “onset of coronavirus” became the most deliberate topic  for everyone around .

A rare of vaccine tool place in the world where every country wanted to be Usian Bolt.

Countrymen waited in vain for the cure from this beast.

Prayers , chanting and faith will come to power and again our World will be a better place to live.

‘Onset of our normal lifestyle and celebrating our existence with our menage and boon companion’ is a day not so far.

Nothing in the world is something that we human cannot conquer.

“Keep a desire and defeat this bizarre ” … is all I want to say!

Thank You.



In the words of Nelson Mandela, “It always seems impossible until it’s done”

and in AI, “Every project is Artificial and Unrealistic until the sound of success ringers.”

From coining of the term ‘Artificial Intelligence’ in 1956 by John McCarthy to the present date the field of AI research has traveled a huge history, ups and downs glorifying it’s past.

Meaning of AI

In layman’s language, Artificial intelligence involves building of theories and development of computers that are capable of doing tasks that requires human intelligence. This generally includes visual perception, voice recognition, decision making and translation between languages. The most spectacular and daily use inventions are SIRI, ALEXA, DRONES, etc. These gadgets are prominently used in almost every sector and in every household.

32% of executives say voice recognition is the most-widely used AI technology in their business today.

From telecasting live events to aerial surveillance drones have made the lives easier, but inventions and advancement in technology have a major setback, the machines are replacing humans, hence, cutting jobs in one field and creating some in other but the job cut is greater than the increase. Some specialists claim that these inventions are ‘A Threat to Human Existence’.

But what is the reality? Is AI development really hampering the growth of the economies? Is investing in AI a deal of loss? Is AI really a threat to the human existence? Think over this, we will address these questions towards the end.

Origin of AI

The seed of AI growth was sown in the first half of the 20th century by the science fiction movies and novels, skillfully describing the existence of robots equipped with human like intelligence. In 1950 Alan Turing mentioned in his research paper that humans use available information as well as reason in order to solve problems and make decisions, so why can’t machines do the same thing? Almost five years later, in 1956, Dartmouth college organised a workshop where the field of AI was born. Attendees of the meeting became the founders and the very first team of researchers in the field.

Success and Failure in AI: A Roller Coaster Ride

The research field of AI flourished from 1957 to 1974. There was improvement in the available computers, they could store more information, became cheaper, faster and easily accessible. The visible success and advocacy of the researchers convinced government agencies like Defense Advanced Research Projects Agency (DARPA) to fund researches in the field at several institutions, making people also equipped with learning of the computers and AI technology. Government was much more inclined towards having a device that can easily translate one language into other and is able to process huge set of data.

Success rate was high and ambitions were higher. In 1970 Marvin Minsky told Life Magazine, “from three to eight years we will have a machine with the general intelligence of an average human being.” Even though the roadmap was ready the road to success was still a long way. The major obstacles led to the downfall in the progress. As a result of this and criticisms involved, the AI experienced a shortage of funds as both the US and British government withdrew funds. This further led to a decline for approximately 10 years. This time period later was named as ‘AI Winter’.

In 1980’s AI experienced some sort of revival after the expert systems were successful commercially. In 1985, inspired by the 5th generation computers launched by Japan, US and British Government restored their funding. But in 1987 AI suffered another downfall for a longer time period this time.

Late 1990’s and early 21st century, experienced a boost in the AI technology. Many goals and targets were achieved and the trust and confidence were restored.


Present Scenario

For past 2 decades AI graph is continuously rising. Invention of Drones and claims regarding self-driven cars are the highlights of this century. The government and private sector are equally inclined towards learning and funding in the AI research.

Considering the growth, the debate relating to ethics and socio-economic background has increased. The claim regarding job cuts is valid but we can’t deny the fact that the productivity and growth level is rising, because machines using AI reduce the time and efforts, hence they work efficiently, generating better outcomes. Most of the economies whether developing or developed are investing in AI keeping this in mind. One might think private investment might be a deal which will give no returns. But in reality, private investment is an add-on to the better performance in AI research. Private investors are hiring equipped staff to develop machines and work on their projects, improving the human efficiency and giving them better platform and working conditions. Private investment will also encourage young generation to participate and contribute in the field.

When you think of the intentions, they are not wrong, ethically. AI is not trying to replace human force; instead, it is trying to aid the future generations in their day to day activities. Nevertheless,

no one can predict the future and as of now supporting and encouraging AI seems to be a better option. Although nobody knows what’s in the store of future being optimistic can be the only thing that can be assured.