Aditi VarshneyAIR 57 · CSE 2022 · 158 wordsTheir whole copy
Opening · a definition
Deep tech startups refers to the startups which deal with newer technologies like Deep learning, Machine learning, etc -> which are highly technology intensive.
Body · points
Challenges
(1) Lack of Funding and incubation support
(2) Lack of necessary infrastructure e.g. labs, electricity coverage, internet penetration in hinterlands.
(3) Long gestation periods -> this inhibits participation and engagement with deep technology.
(4) Unassured Returns Further disincentivises Research
(5) Lack of Research orientation and ecosystem -> Rote learning orientations since schools.
(6) Patent Regime - not encouraging.
Steps to address challenges
(1) Investing in Research ecosystem e.g. Atal Innovation Mission.
(2) Incentivising Research -> Incubation Support incentives e.g. Startup India, Performance linked incentive scheme.
(3) A functional Triad
(4) Global cooperation e.g. leveraging international groups for investments, technology transfers.
(5) Supporting long term Research startups by financial support, handholding etc.
Close · a summary
We need to incentivise Deep Tech startups as they could be potential game changers for the economic growth and newly emerging problems.
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