“China’s Rise in Artificial Intelligence,” explains that the country is using AI to drive economic progress, and is therefore emerging as a major global contender in the field. Part of the reason for this is because both private industry and the government have identified machine learning and AI as the next major sources of innovation.
Russian President Vladimir Putin warned Friday (Sept. 1, 2017) that the country that becomes the leader in developing artificial intelligence will be “the ruler of the world,” reports the Associated Press. AI development “raises colossal opportunities and threats that are difficult to predict now,” Putin said in a lecture to students, warning that “it would be strongly undesirable if someone wins a monopolist position.”
The technology sector has been on edge, waiting to see if the new administration will make the reforms needed to spur innovation and startup activity, or whether it will make policy changes that end up stifling it. There are a few key areas of tech policy that are top of mind for tech CEOs and other industry participants, including four key issues: Expanding tech talent, intellectual property protection, AI and automation, and net neutrality.
Artificial intelligence experts shook up the tech world this month when they called for the United Nations to regulate and even consider banning autonomous weapons. Attention quickly gravitated to the biggest celebrity in the group, Elon Musk, who set the Internet ablaze when he tweeted: “If you're not concerned about AI safety, you should be. Vastly more risk than North Korea.”
In all the talk about new tech trends in Silicon Valley, there has been little to match the excitement over artificial intelligence (AI). Tech journalists and venture investors hyperventilate when predicting all the things computers and robots may be capable of doing, while economists scratch their heads and attempt to forecast what jobs and functions -- now done by humans -- may be taken over by AI bots, and how it will affect the economy, both positively and negatively.
Over 150 years ago, British author Samuel Butler predicted the rise of artificial intelligence, calling for a “war to the death” against machines – and arguing that that “the time will come when the machines will hold the real supremacy over the world and its inhabitants.”
Online learning allows students to learn in a broader range of styles instead of simply sitting and listening to an instructor. It's also the form of learning that is conducive to the advancements being made in artificial intelligence, and is arguably more effective for the needs of our modern workplace. But there are new challenges that come along with new approaches as well.
On March 13, 2004, a gaggle of engineers and a few thousand spectators congregated outside a California dive bar to watch 15 self-driving cars speed across the Mojave Desert in the first-ever Darpa Grand Challenge. (That’s the Defense Advanced Research Projects Agency, the Pentagon’s skunkworks arm.)
China wants to become a “premier global AI innovation center” by 2030. This plan seeks to redress current shortcomings and build up indigenous capabilities in innovation. The effort will include extensive government funding and investments, along with a focus on attracting and developing leading talent in AI.
For the last 35 years Artificial Intelligence (AI) has been promising much yet not delivering outside of the academic world. So what exactly is AI? There is actually a fair bit of confusion about even the definition of AI, and here I would like to take Gartner’s viewpoint, avoiding marketing terms like ‘cognitive’ in that AI stands for “Amazing Innovation”.