Why Jupyter is data scientists’ computational notebook of choice
Why Jupyter is data scientists’ computational notebook of choice
11/26/2018
link
summary
This article discusses the potential long-term impacts of AI and automation on the workplace. It highlights the fear of job displacement and argues that while automation may eliminate certain types of jobs, it will also create new ones. The article further explores the role of education and proposes that a focus on developing skills that complement AI and automation will be crucial for future employment. It also discusses the need for policies and regulations to address job displacement and ensure a smooth transition. The author concludes that while there are challenges and uncertainties, AI and automation have the potential to positively transform work rather than simply replace humans.
tags
scientific research ꞏ scientific publishing ꞏ scientific journals ꞏ scientific communication ꞏ nature journal ꞏ scientific articles ꞏ scientific discovery ꞏ scientific community ꞏ scientific knowledge ꞏ scientific progress ꞏ research findings ꞏ academic publishing ꞏ scholarly communication ꞏ research papers ꞏ scientific analysis ꞏ peer-reviewed journal ꞏ scientific literature ꞏ scientific advancements ꞏ scientific breakthroughs ꞏ scientific integrity ꞏ scientific method ꞏ scientific inquiry ꞏ scientific data ꞏ scientific collaboration ꞏ scientific evidence ꞏ scientific rigor ꞏ science journalism ꞏ scientific impact ꞏ scientific ethics ꞏ scientific credibility ꞏ scientific innovation ꞏ scientific reporting ꞏ scientific writing ꞏ scientific review ꞏ scientific exploration ꞏ scientific debate ꞏ scientific consensus ꞏ scientific principles ꞏ scientific accuracy ꞏ scientific validity ꞏ scientific experiments ꞏ scientific theories ꞏ scientific discoveries ꞏ scientific advancement ꞏ science policy ꞏ science education ꞏ science communication ꞏ science technology ꞏ scientific frontiers ꞏ scientific understanding ꞏ scientific disciplines