As automation and technology change the nature of work from physical to technical labor, as manufacturing jobs transition from physical assembly-line occupations to those tied to supporting automation and robotics, a strong STEM skill set will be of the utmost importance in the new economy.Unfortunately, this skill set is exactly what our workforce lacks at the moment. In recent years, the skills gap has received much attention, and rightfully so.
The announcement Tuesday of a nearly $1 billion federal commitment toward artificial-intelligence research drew a mixed response from business leaders who said the U.S. needs to do more to maintain a competitive edge in AI. Government agencies requested $973.5 million in nondefense AI research spending for the fiscal year ending in September 2020.
China comes in second, and the European Union lags further behind. This order could change in coming years as China appears to be making more rapid progress than either the United States or the European Union. Nonetheless, when controlling for the size of the labor force in the three regions, the current U.S. lead becomes even larger, while China drops to third place, behind the European Union. This report also offers a range of policy recommendations to help each nation or region improve its AI capabilities.
Despite China’s bold AI initiative, the United States still leads in absolute terms. China comes in second, and the European Union lags further behind. This order could change in coming years as China appears to be making more rapid progress than either the United States or the European Union. Nonetheless, when controlling for the size of the labor force in the three regions, the current U.S. lead becomes even larger, while China drops to third place, behind the European Union.
Human doctors once again fell short of artificial intelligence in a test to accurately diagnose breast cancer, adding yet more evidence that AI-aided diagnostics may soon be commonplace. Researchers at the University of Washington and UCLA created a system that was able to distinguish between a pair of conditions that human doctors often struggle to identify correctly.
AI has become the core driving force of the new round of industrial transformation and ushered in a new period of industrial explosion. How to break through the barriers between technology and industry has become a heated issue.
In a scathing New York Times editorial on Friday, Thiel attacked Google for establishing an AI lab in Beijing in 2017 while ending its AI contract “Project Maven” with the Pentagon, after Google employees complained about the use of their research for defense purposes. “Perhaps the most charitable word for these twin decisions would be to call them naive,” Thiel wrote in the New York Times.
Microsoft will invest $1 billion in OpenAI and work with the San Francisco-based artificial intelligence powerhouse to create a computational platform of “unprecedented scale” to accelerate the development of advanced forms of AI.
Two years since announcing a national plan to become the world leader in artificial intelligence by 2030, China is making progress toward its goal on an unprecedented scale, raising the question of whether America’s laissez-faire approach to technology is enough and whether another Sputnik moment is around the corner, according to interviews for the latest episode of POLITICO’s Global Translations podcast.
Leadership of any kind is stressful. What if you could train for leadership using a set of tools and data that could help you take calculated risks without endangering anyone? According to a McKinsey Quarterly article, artificial intelligence may have the “potential to help you lead with clarity, specificity, and creativity.”