独家
调查:美国在人工智能领域领先，中国正在崛起
研究人员发现，美国在创业投资和研发资金等关键领域处于领先地位。
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Skipper从BSNL获得了2570亿卢比的合同，用于执行4G饱和项目
BSNL周五在一份监管文件中表示，该公司已经授予了“地面电信塔、基础设施即服务提供商(IaaSP)的供应、基础设施的安装和后续的运维合同，为期5年，可延长至印度4G饱和项目下未覆盖村庄的5年”。
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美国在核武器的开发和使用方面领先于竞争对手人工智能而中国正在迅速上升欧盟周一的一份研究报告显示，美国的经济增长滞后。
美国信息技术与创新基金会(Information Technology and Innovation Foundation)的这项研究使用30个独立指标评估人工智能，包括人才、研究活动、商业开发以及硬件和软件投资。
该报告基于2020年的数据发现，美国以44.6分的总分领跑，中国以32分紧随其后，欧盟以23.3分紧随其后。
研究人员发现，美国在投资等关键领域处于领先地位创业公司还有研发资金。
但中国在多个领域取得了长足进步。去年，在全球最强大的500台超级计算机中，中国拥有214台超级计算机，超过了其他任何国家，而美国为113台，欧盟为91台。
该智库数据创新中心主任、该报告的主要作者丹尼尔·卡斯特罗(Daniel Castro)表示:“中国政府已将人工智能列为头等大事，其成果正在显现。”
“美国和欧盟需要关注中国正在做的事情并做出回应，因为在人工智能开发和使用方面领先的国家将塑造中国的未来，并显著提高其经济竞争力，而落后的国家则有可能在关键行业失去竞争力。”
欧盟在风险资本和私人股本融资方面明显落后，但在发表的研究论文方面表现较好。
该报告发现，中国在2018年(可获得数据的最新年份)发表了约24929篇人工智能研究论文，欧盟发表了20418篇，美国发表了16233篇。
但它表示，“美国的平均研究质量仍高于中国和欧盟。”
调查还得出结论，美国“在为人工智能系统设计芯片方面仍然处于世界领先地位”。
报告称，为了保持竞争力，欧洲需要加强研究税收激励，并扩大从事人工智能研究的公共研究机构。
美国要想保持领先地位，就必须加大对人工智能研究和部署的支持力度，在吸引世界各地顶尖人才的同时，加大在国内培养人工智能人才的力度。
美国信息技术与创新基金会(Information Technology and Innovation Foundation)的这项研究使用30个独立指标评估人工智能，包括人才、研究活动、商业开发以及硬件和软件投资。
该报告基于2020年的数据发现，美国以44.6分的总分领跑，中国以32分紧随其后，欧盟以23.3分紧随其后。
但中国在多个领域取得了长足进步。去年，在全球最强大的500台超级计算机中，中国拥有214台超级计算机，超过了其他任何国家，而美国为113台，欧盟为91台。
该智库数据创新中心主任、该报告的主要作者丹尼尔·卡斯特罗(Daniel Castro)表示:“中国政府已将人工智能列为头等大事，其成果正在显现。”
“美国和欧盟需要关注中国正在做的事情并做出回应，因为在人工智能开发和使用方面领先的国家将塑造中国的未来，并显著提高其经济竞争力，而落后的国家则有可能在关键行业失去竞争力。”
欧盟在风险资本和私人股本融资方面明显落后，但在发表的研究论文方面表现较好。
该报告发现，中国在2018年(可获得数据的最新年份)发表了约24929篇人工智能研究论文，欧盟发表了20418篇，美国发表了16233篇。
但它表示，“美国的平均研究质量仍高于中国和欧盟。”
报告称，为了保持竞争力，欧洲需要加强研究税收激励，并扩大从事人工智能研究的公共研究机构。
美国要想保持领先地位，就必须加大对人工智能研究和部署的支持力度，在吸引世界各地顶尖人才的同时，加大在国内培养人工智能人才的力度。
The United States is leading rivals in development and use of artificial intelligence<\/a> while China<\/a> is rising quickly and European Union<\/a> is lagging, a research report showed Monday.
The study by the Information Technology and Innovation Foundation assessed AI using 30 separate metrics including human talent, research activity, commercial development and investment in hardware and software.
The United States leads, with an overall score of 44.6 points on a 100-point scale, followed by China with 32 and the European Union with 23.3, the report based on 2020 data found.
The study by the Information Technology and Innovation Foundation assessed AI using 30 separate metrics including human talent, research activity, commercial development and investment in hardware and software.
The United States leads, with an overall score of 44.6 points on a 100-point scale, followed by China with 32 and the European Union with 23.3, the report based on 2020 data found.
<\/div><\/div>The researchers found the US leading in key areas such as investment in startups<\/a> and research and development funding.
But China has made strides in several areas and last year had more of the world's 500 most powerful supercomputers than any other nation -- 214, compared with 113 for the US and 91 for the EU.
\"The Chinese government has made AI a top priority and the results are showing,\" said Daniel Castro, director of the think tank's Center for Data Innovation and lead author of the report.
\"The United States and European Union need to pay attention to what China is doing and respond, because nations that lead in the development and use of AI will shape its future and significantly improve their economic competitiveness, while those that fall behind risk losing competitiveness in key industries.\"
The EU lagged notably in venture capital and private equity funding, while faring better in terms of research papers published.
The report found China published some 24,929 AI research papers in 2018, the latest year for which data was available, to 20,418 for the European Union and 16,233 for the United States.
But it said that \"average US research quality is still higher than that of China and the European Union.\"
But China has made strides in several areas and last year had more of the world's 500 most powerful supercomputers than any other nation -- 214, compared with 113 for the US and 91 for the EU.
\"The Chinese government has made AI a top priority and the results are showing,\" said Daniel Castro, director of the think tank's Center for Data Innovation and lead author of the report.
\"The United States and European Union need to pay attention to what China is doing and respond, because nations that lead in the development and use of AI will shape its future and significantly improve their economic competitiveness, while those that fall behind risk losing competitiveness in key industries.\"
The EU lagged notably in venture capital and private equity funding, while faring better in terms of research papers published.
The report found China published some 24,929 AI research papers in 2018, the latest year for which data was available, to 20,418 for the European Union and 16,233 for the United States.
But it said that \"average US research quality is still higher than that of China and the European Union.\"
<\/div><\/div>The survey also concluded that the United States \"is still the world leader in designing chips for AI systems.\"
To remain competitive, the report said, Europe needs to boost research tax incentives, and expand public research institutes working on AI.
For the United States to maintain its lead, it must boost support for AI research and deployment, and step up efforts to develop AI talent domestically while attracting top talent from around the world.
<\/div><\/div>
To remain competitive, the report said, Europe needs to boost research tax incentives, and expand public research institutes working on AI.
For the United States to maintain its lead, it must boost support for AI research and deployment, and step up efforts to develop AI talent domestically while attracting top talent from around the world.
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