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Artificial Intelligence Innovation - top 15 countries 1990 - 2020

#artificialintelligence

Publications, citations, conference papers, awards, patents and investment are all indicators of innovation in a given field. While there is no perfect measure, we chose the peer-reviewed publications in AI journals as a compromise between history of data, completeness, reliability and coherence. This video shows the trends of artificial intelligence innovation worldwide by country based on this measure, from the AI Index report 2019. Artificial intelligence, machine learning and deep learning in particular are transforming all industries enabling people to perform tasks better and faster, make better decisions, optimizing processes, or automating tasks among others. With the fast growth in compute power and data availability, complex algorithms can learn and extract information from huge amounts of data - big data - that humans cannot.


Artificial intelligence jobs on the rise, along with everything else AI ZDNet

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AI jobs are on the upswing, as are the capabilities of AI systems. The speed of deployments has also increased exponentially. It's now possible to train an image-processing algorithm in about a minute -- something that took hours just a couple of years ago. These are among the key metrics of AI tracked in the latest release of the AI Index, an annual data update from Stanford University's Human-Centered Artificial Intelligence Institute published in partnership with McKinsey Global Institute. The index tracks AI growth across a range of metrics, from papers published to patents granted to employment numbers.


Artificial Intelligence's Foothold Increases Going Into 2020

#artificialintelligence

Artificial intelligence (AI) continues to expand its footprint in the enterprise and the economy. That's the word from the AI Index, an annual data update from Stanford University's Human-Centered Artificial Intelligence Institute. The index tracks AI growth across a range of metrics, from papers published to patents granted to employment numbers. In terms of total employment, while AI-related jobs are but a small fraction, the share is rapidly expanding. In the U.S., the share of jobs in AI-related topics increased from 0.26% of total jobs posted in 2010 to 1.32% in October 2019 -- or five-fold growth.


The Rise of Artificial Intelligence and Who's Hiring for AI

#artificialintelligence

Artificial Intelligence is slowly taking over our day to day lives – especially when it comes to the workplace and using tech to enhance and fast-track tasks. There are many sectors in which AI can help improve services – specifically national health services, banking and legal services. Not only do some of the biggest names in tech debate over the future of AI and how it continues to make life easier and better for many, but we are now seeing some of the biggest tech companies now recruiting heavily in AI. But, who is recruiting for AI roles the most and is making big steps in looking toward the future? With AI-related jobs more than doubling over the past three years and job postings related to AI increasing by 119 percent, RS Components has analyzed job posts from some of the world's biggest tech companies to discover who has the highest percentage of AI-related job openings.


We May Not Know When Automation Will Take Over, but the Anxiety Is Already Here

Slate

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. In an interview last year, Treasury Secretary Steven Munchin told Axios that job automation was "not even on our radar screen," citing that the risk was still "50-100 more years away." But even if an employment apocalypse doesn't come to pass, fear of an automated future may be making Americans sicker today, according to a study published recently in the journal of Social Science and Medicine that shows a correlation between automation risk and worsened physical and mental health at the county level. The researchers, who are from Ball State University and Villanova University, used a regression analysis of county-level data about health and the share of total jobs at risk of automation. They calculated the second data set by matching county-level employment data with the risk levels calculated in a frequently cited 2013 Oxford University study that suggested almost 50 percent of jobs could be at risk of automation by 2033.