A TechCrunch article cited a computer scientist mentioning that linear algebra, probability, statistics and calculus III should be incorporated in education — the sooner the better. Since high school curriculum offers a watered-down version of probability and calculus, it is high time the Indian think tank NITI Aayog revisits it to overhaul the existing curriculum if the country wants to make AI the engine of growth and economy.
Here’s why school curriculum should integrate higher level maths which is a prerequisite to understanding core computer science concepts: According to a NITI Aayog discussion paper, US, China and Japan are already leading in cutting-edge research. US universities such as CMU, MIT, Stanford and Berkeley are already leading in AI research and offering top-notch machine learning courses, led by stellar faculty.
Similarly, Chinese universities like Tsinghua and Peking are now leading the race with the highest number of research papers published, have large-scale public funding and have forged research partnerships with Chinese companies. The think tank acknowledges for India to strive ahead in the AI race — a public-private-academia approach is required for AI talent development.
Another key point cited by the research paper is that countries across the globe are ramping up resources for building a future workforce by stepping up investment in STEM talent development through collaborations with universities and designing new courses. For example, UK plans to build a pool of 1,000 PhD researchers by 2025 through the Turing fellowship to fuel development of AI while China is addressing the problem at its root by training 500 teachers and 5,000 students working on AI.
The balance of power in the tech landscape is shifting towards artificial intelligence with IT bellwethers baking AI into existing products. But what’s more crucial to the future of businesses is an AI workforce. Read more from analyticsindiamag.com…
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