Research trend of AI in India

Research trend of AI in IndiaBy Neel Shah

Jacob Minz,Malaikannan Sankarasubbu,Anirban Santara

Guided By:

● We are tracking top conferences where Google Brain Team publishes like NIPS, ICML, CVPR, ACL.

● The main aim of this data analysis is to identify the highest quality ongoing research in AI domain in Indian Universities and Industry. It gives us the basic answer about research realms and its trends in India.

● To understand it more deeply, we compare Indian research results with world's research results.

Technical detailsProgramming language :

Python 3.6+ with jupyter notebook.

Dataset details:

SCOPUS journal 1387 selected papers from 2001 to 2016 and arxiv 24700+ papers from 1992 to 2016.

Participation of University and Industry in India.

85.58% By university

14.42% By Industry

Very large gap between University and Industry research ratio.

From total research, only ~15% of research is in collaboration with Industry and University.

Participation of different Industry in research.

Microsoft Top with 34.5%

Only TCS(core Indian) survive in top 10 with 13%

Lack of interest of Indian companies in fundamental AI research.

Participation of Universities in research.

IISc - Banglore top with 7.58%.

The hub of CS research IIT-Kharagpur secured 7th place with 2.86% only.

It’s quite shocking for country which has more than 35,000 colleges and 400 Universities, because only 15 universities do almost 43% of total research.

Trend in India and WorldFirst graph shows 15 year research

trend in India. And it has zig-zag pattern.

While second graph shows constant growth in some areas in the last six year in Arxiv. Specially exponential growth in Computer vision.

Indian research is not matching the world’s trend.

Top researcher of India between 2001 to 2016

Top researcher in the world.

The average citation of top researcher in world and Indian researcher is almost same.

It shows the quality of Indian research is among top in world.

ConclusionIndian AI researchers are among the best in the world.

Research in AI needs to be aggressively scaled up.

More Industry-Academia, inter and intra University collaboration is needed.

References:1) https://neelshah18.github.io/Scopus-analysis.html

2)https://research.googleblog.com/2017/01/the-google-brain-team-looking-back-on.html

3)http://rstv.nic.in/pm-modi-addresses-indian-science-congress-tirupati.html?sf52381424=1

4)https://arxiv.org/