The United States spent $1 billion to build 12 AI and quantum institutes in the next five years

According to foreign media reports, the White House announced that in the next five years, federal agencies and private sector partners will invest more than $1 billion to establish 12 research institutions focusing on artificial intelligence and quantum information. < / P > < p > according to the Wall Street Journal, the White House announced that federal agencies and private sector partners would invest more than $1 billion in the next five years to establish 12 new research institutions focusing on artificial intelligence and quantum information. The National Science Foundation and other federal agencies, including the U.S. Department of agriculture, will invest $140 million in seven AI focused research institutes, while the Department of energy will supervise and invest $625 million in five research institutes dedicated to quantum information. < / P > < p > the U.S. has increased its investment in AI and quantum information, partly due to competitive pressures from China and other countries to invest in these emerging technologies. < / P > < p > not long ago, the trump administration proposed to increase the spending on artificial intelligence and quantum information science by about 30% in the non defense budget in 2021. < / P > < p > a report released in 2019 by the data innovation center of nonpartisan research institutions shows that China is adopting AI faster than the United States and the European Union. Michael kratsios, chief technology officer of the United States, said, “it is crucial to maintain a world leading position in the field of AI and quantum technology. Today, how we invest, research, develop, and deploy these cutting-edge technologies will determine the future of America’s economic prosperity and national security. AI research institute will study how to apply technology to precision agriculture, weather forecast and other fields. The institutes will be hosted by universities across the country: the University of Oklahoma, the University of Texas at Austin, the University of Colorado, the University of Illinois at Urbana Champaign, the University of California at Davis and the Massachusetts Institute of technology. < p > < p > the Institute will focus on quantum computing and networks. The work will be carried out at the Department of energy’s Argonne University, Brookhaven University, Fermi laboratory, Oak Ridge laboratory and Lawrence Berkeley National Laboratory. < / P > < p > one of the objectives of these institutes is to conduct early research in areas where private sector investment is unlikely, as the trump administration believes it is important for the country’s competitive position. < / P > < p > and another goal is to use these institutes as a training ground for the next generation of AI experts, which the White House sees as a way to promote diversity in the field. Sethuraman panchanthan, NSF director, said that at least six minority services, including the historic black college and Tuskegee University, were partners. In this way, we are building a network that we want to extend not just to every state, but to every level of our society. < / P > < p > it should be noted that research conducted by American companies such as IBM, Microsoft, Google, rigetti is widely considered to be the forefront of quantum computer technology. Recently, IBM has just announced that its quantum computer has achieved 64 quantum volumes. Companies are eager to set their own standards in the future. It is no exaggeration to say that the United States is the global leader in quantum computing. But that is changing. AI talent shortage is becoming the biggest tragedy in the United States. < / P > < p > in recent years, although the enrollment of higher education in AI related fields has increased rapidly, few universities can meet the needs of students due to the lack of personnel. However, Trump’s proposal in June to ban the entry of highly skilled holders of H-1B visa in the United States, of which an estimated 35% have obtained degrees related to artificial intelligence. In order to cultivate AI professionals, China’s AI innovation action plan calls for the establishment of 50 new AI colleges by 2020. If the current trend continues, China is expected to maintain a leading position in the next few years. In terms of investment, for many years, the trump government of the United States has controlled expenditures, while China’s substantial investment in AI and quantum computing and its strong performance have to make the United States attach great importance to it. In February of this year, trump proposed to cut federal research funding except for key areas such as artificial intelligence and quantum technology, and put all the bets on key areas. According to a report released in January by govini, a data analysis firm, China’s share of the global research and engineering budget increased from 3% to 27% between 1997 and 2017. < / P > < p > patent applications are also an evaluation criterion. According to the data collected by the European Commission Joint Research Center in Ispra, Italy, more than 43% of the patented quantum technology innovations between 2012 and 2017 came from Chinese companies and universities. In the field of AI patent applications, China is also very radical, irresistible. David awschalom, Professor of spintronics and quantum information at the University of Chicago, once said that China has demonstrated its ambitious plans in the quantum field, as have Europe, the United Kingdom, Australia and Canada. All of these are national strategies, and now is a good time for the United States to do it. < / P > < p > the global competition of artificial intelligence and quantum technology has become more and more intense. The competition between China and the United States in the development of artificial intelligence is difficult to quantify in many aspects. < / P > < p > in this competition, we are not sure who will be the final winner, but the United States’ great efforts in AI and quantum technology show its ambition. Continue ReadingAmerican companies begin to give up R & D: who should pay for corporate research?