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Indian CEO gives $530,000 in shares to driver, house help

Al Jazeera

V. Vaidyanathan gave 900,000 shares or 3.7% of his holding in the private sector lender. The recipients will use the funds to buy homes, according to an exchange filing. The value of the holding is based on Monday's closing price. Filings show that Vaidyanathan, 54, has gifted roughly 38% of his stake since January 2018, when he was head of shadow lender Capital First that was later merged with listed IDFC Bank to create IDFC First Bank. That includes a 2020 gift to his former mathematics teacher, who had lent Vaidyanathan 500 rupees when the now-CEO was a broke student who had won admission into a premier school but didn't have the cash to travel to the institute.


Introducing Artificial Intelligence Training in Medical Education

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Global health care expenditure has been projected to grow from US $7.7 trillion in 2017 to US $10 trillion in 2022 at a rate of 5.4% [1]. This translates into health care being an average of 9% of gross domestic product among developed countries [2,3]. Some key global trends that have led to this include tax reform and policy changes in the United States that could impact the expansion of health care access and affordability (Affordable Care Act) [4], implications on the United Kingdom's health care spend based on the decision to leave the European Union [5], population growth and rise in wealth in both China and India [6-8], implementation of socioeconomic policy reform for health care in Russia [9], attempts to make universal health care effective in Argentina [10], massive push for electronic health and telemedicine in Africa [11], and the impact of an unprecedented pace of population aging around the world [12]. From clinicians' perspective there are many important trends that are affecting the way they deliver care of which the growth in medical information is alarming. It took 50 years for medical information to double in 1950. In 1980, it took 7 years. In 2010, it was 3.5 years and is now projected to double in 73 days by 2020 [13].


Why schools should teach the curriculum of the future, not the past

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To prepare all students with the creative, collaborative and digital problem-solving skills of the future, schools must teach computer science as part of the core curriculum. Computer science is not just about coding. It is also about computational thinking, interface design, data analysis, machine learning, cybersecurity, networking and robotics. Learning computer science encourages creativity, problem-solving, ethics and collaboration – skills which aren't just important for technical careers in the developed world, but valuable for every career in all economies. What's more, in a study of how students felt about their classes, computer science and engineering trailed only the arts in terms of classes they liked the most.


UK schools' science and technology curricula 'not fit for purpose', say teachers

Daily Mail - Science & tech

Science and technology curricula in UK schools are'not fit for purpose' and need to be updated to help pupils'change the world for the better', teachers have warned. Polls taken amid COVID-19 on behalf of the Amazon Longitude Explorer Prize found 47 per cent of teachers think the technology curriculum, specifically, is out of date. More than half of teachers said they had not the support to ensure lessons kept pace with advances and 59 per cent said resource shortages were limiting lesson plans. And 59 per cent said the STEM (Science, Technology, Engineering and Mathematics) curricula constrain their ability to help students reach their potential. The findings also flagged issues that have arisen specifically as a consequence of the COVID-19 pandemic -- including the impact such has had on practical teaching.


Data Science Journey

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Data science Journey, located in Karachi, is an exciting and tested data science curriculum that is specifically designed to prepare you for a career in the analytics world. It's designed by international data scientists from Australia and USA to prepare you for transitioning into a data science role. The program consists of both theoretical and practical applications of data science curriculum that is sure to build your skills for a great paying job!