Can India Lead the Artificial Intelligence Era?

According to the report of CB Insights 2017, about $15.2 billion was invested in AI start-ups globally – 48% of it went to China, and 38% to America. There is no Indian company in the top 100 AI global startups.

Can India Lead the Artificial Intelligence era?

After the World War II, a huge number of people started to work independently on intelligence machines. Alan Turing was the first man who initiated the research on intelligence machines. He delivered a lecture on Artificial Intelligence in 1947 and started efforts to spread AI all over the world. Arguably, he might be the first man to decide that AI can be the best-researched topic by programming computers than by building machines. By 1950 renowned scientists all around the globe started focusing on programming computers.

According to the father of Artificial Intelligence, John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs.” Artificial Intelligence is a very vast topic which covers a wide range of subjects, it starts with your mobile phones to the self-driving cars. AI is basically the successful implementation of human senses in machines. It is a maiden attempt to map how our brain works with machines. Artificial intelligence is a combination of mathematical algorithm tools, information, electronic and computer technology. Examples include Self-driving and parking cars, video games, plagiarism checker and spell checker. These are the basic example of AI.

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Artificial Intelligence is a way of making a computer, a computer-controlled human or developed a software who is able to think intelligently like a man. AI is accomplished by studying how the human brain thinks, and how humans learn, decide, and work at the time when we are trying to solve a particular problem. In AI system, a machine is taught to analyze and think and then offer solutions on multiple issues.

Artificial intelligence is a scientific technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. A major emphasis of AI is basically the development of computer which functions associated with human intelligence, such as reasoning, learning, and problem-solving activities. Out of the following areas, one or multiple areas can contribute to building an intelligent system.

AI has many good uses across many sectors like – Traffic Control, Automating Support, Automating Manufacturing, Fraud Detection, Imposing Laws without corruption etc. So a developing country like India needs to develop and commercialize AI if its businesses aim to compete globally. AI can help the military to build comprehensive long-term vision covering various defense-related strategic areas such as autonomous weapons, cyber-defense, etc.

The contribution of Indian researchers to the top AI conferences lagging behind the international standards. Indian researchers presented only 20 papers, one-fifteenth of the US contribution and one-eighth of China. At the most recent conference of the Association for the Advancement of Artificial Intelligence 2017, US presented 307 research papers and our neighbor China presented 235 papers at the conference. According to CB Insights, an organization who aggregate and analyze massive amounts of data and use machine learning, algorithms and data visualization, in 2017 about $15.2 billion was invested in AI start-ups globally – 48% of that total amount goes to China, and 38% to America. There is no Indian startup on the list of top 100 AI focused ventures globally.

While Government of India is focusing on this, a lot of micro and medium AI ventures mushrooming in co-working spaces around metro cities, India fails to provide an AI ecosystem for entrepreneurs and new ventures to rise. Should we continue complaining, crying and introspecting while our neighbor China again takes the lead in AI just like they did in industrialization and manufacturing?