Artificial intelligence (AI) has been a hot topic for years. Hollywood has adopted AI as characters for movies since 1927’s Metropolis, and over the years, AI has become a popular part of the mainstream media. Science fiction isn’t merely fiction, though—artificial intelligence is a rapidly growing field of technology that’s made its place in business, education, and the government. As technology becomes more advanced, it’s safe to assume that AI will advance rapidly along with it. Four key measures have particularly set AI growth in motion, all of which are showing results of its capabilities.
Startups and Venture Capital Funding
Stanford University’s AI Index reported on AI startups and active startups, among the other measures that will be later mentioned. The startup study lasted from January 2015 to January 2018 and showed that AI startups increased 2.1x, while all active startups increased 1.3x. This shows that while active, human-run startups have a steady rate of growth, AI startups see exponential growth. Venture capital has seen similar results; funding for AI startups in the US increased 4.5x from 2013 to 2017, while funding for all active startups increased 2.08x.
Though machine learning is important, deep learning is rapidly becoming one desired skill set for the job market. In fact, a study showed that the number of jobs that required deep learning as a skill grew 35x the amount between 2015 and 2017. AI has also become integrated into organizations quickly, specifically AI involving the following: robotic process automation, machine learning, conversational interfaces, computer vision, natural language understanding (both text and speech), and natural language generation.
Open Source Solutions
Downloads from AI-oriented open source solutions have gone up drastically since its introduction. Robot operating system (ROS) binary packages have gone up as well; a 2014 study shows that the “total downloads and unique downloads have increased by 352% and 567%, respectively”. This shows that not only that the interest in robotics has increased, but the number of different users has increased as well (as shown by the unique downloads).
AI Course Enrollment
More and more college students have enrolled in AI and machine learning courses, and at a much faster rate than previously shown. The number of students who enrolled in introductory AI courses was 3.4x more in 2017 than it was in 2012. Likewise, the introductory machine learning course saw 5x the number of enrollments in 2017 than it did in 2012. This increased interest shows just important AI and machine learning has become to the way the world works today, and how quickly it has as well.