Your current location:Home > Latest news text

穆赫兰道

GT Voice: Bridging digital gap to be decisive factor in global AI competition_我的网站

王子变青蛙

A |

Conceptual diagram of AI Photo: VCG
In a report released on Tuesday, the World Bank made an optimistic assessment that artificial intelligence (AI) could allow developing countries to do in a decade what might otherwise take a century. The report found that AI will throw developing economies a lifeline, and that the technology's greatest promise for developing countries lies not in replacing workers, but in amplifying what they can do.
While advanced economies are still debating whether AI will wipe out white-collar jobs, this report serves as a critical reminder that AI is not merely a force that replaces human labor. More importantly, it acts as an amplifier that unlocks growth potential.
For years, many assumed that AI penetration would primarily erode low- and mid-skilled jobs and widen development gaps among economies. Yet for most developing countries still undergoing digital transformation, AI represents far more than a choice between automation and human labor. It provides a cost-effective shortcut to remedy decades of digital infrastructure shortcomings.
Many digital capabilities that once required massive capital investment, systematic infrastructure development and professional talent training can now be realized through open-weight AI tools. This dramatic reduction in technological barriers offers developing countries a rare chance to leapfrog stages of technological iteration and catch up with global development trends.
In China, this "amplification effect" is unfolding in various ways. Over the past few years, new professions built around human-AI collaboration have kept emerging, while the skill sets required for traditional jobs are evolving at a rapid pace.
What matters even more is that China's unique AI development path carries special reference value for other developing countries. China has already integrated AI on a massive scale into core real-life scenarios spanning manufacturing, agriculture, healthcare and education, while continuously driving down the cost of access.
According to CNBC, Chinese built AI models are gaining ground, and they are gaining traction as they narrow the performance gap with leading American rivals while remaining significantly cheaper to use. This model provides the most practical, accessible entry point for developing economies stepping into the AI era, rather than forcing them to chase unattainable, high-end technical standards that are out of their financial and operational reach.
With the rise of Chinese open-source and open-weight models, AI competition between China and the US has become a hot topic in the global technology landscape. Some in the West often frame this as a technological power tussle between two major countries, measured by model parameters, financing scale and semiconductor manufacturing precision. While such indicators reflect technological advancement, one shouldn't overlook the far more fundamental purpose of technology. The ultimate value of any technology lies in its ability to address shared global challenges and deliver tangible public benefits.
Many developing regions are still in the very early stages of digital transformation. Truly meaningful, impactful AI capability is never cutting-edge technology locked away in a laboratory. It is technology that can step out of the lab, root itself in local realities, and deliver inclusive, accessible solutions that help these countries cross the threshold of digital infrastructure at minimal cost. It is about bringing open-weight, user-friendly AI tools into the hands of ordinary people and companies.
When more developing economies are able to use AI as a lever to bridge their long-standing development gaps, the global digital divide will not be further widened by this new round of technological revolution. Instead, it will be gradually narrowed for the first time in decades. From this perspective, the outcome of global AI competition will not be determined by which country first reaches the ceiling of technological sophistication. The real decisive factor is which country can extend technological benefits to the broadest population groups and leverage AI to drive inclusive global growth.
。1月12日消息1月11日，英国皇家学会发表讣告。英国著名数学家迈克尔·阿提亚爵士于当日去世，享年89岁。阿尔泰爵士于2018年9月宣布，他已经证明了黎曼猜想，这在数学界引起了轰动。作为英国数学的“教父”，阿泰爵士是菲尔兹奖和亚伯奖的双料得主。虽然阿尔泰爵士在海德堡奖得主论坛上提出的黎曼猜想尚未得到广泛认可，但阿尔泰对数学，特别是代数几何作出了贡献。

B | 杰出贡献，被誉为当代最伟大的数学家之一。阿泰纳爵士曾任英国皇家学会主席、剑桥大学三位一体学院院长、爱丁堡皇家学会主席，并当选为多国科学院外国院士。

C | 他的早期工作主要集中在代数几何领域。

D | 与isado singer合作证明的atia-singer指数定理被认为是20世纪最重要的数学成果之一。自20世纪70年代以来，他的兴趣转向了规范场理论。近30年来，量子场论和弦理论对低维拓扑和无限维流形几何的研究受到了极大的启发。他是这个新兴领域的主要倡导者之一。小科学普及：黎曼的猜想是什么？黎曼猜想是关于黎曼函数零点分布的一种猜想。这是里曼在1859年提出的。

E | 这个猜想是世界上七个主要的数学问题，由克里数学研究所奖励。这七个世界问题分别是NP完全问题、霍奇猜想、庞加莱猜想、黎曼猜想、杨米尔斯存在与质量差距、纳维尔-斯托克方程和BSD猜想。如果阿提亚爵士的证据没有问题，这七个问题将得到一百万美元的奖励。他将得到一百万美元的奖励。黎曼认为，素数在所有自然数中的频率都与一个复函数密切相关，也就是说，u（s）=1 1/2s 1/3s 1/4s，称为黎曼齐塔函数。黎曼猜想认为所有素数都可以表示为一个函数。_（s）=0位于一条垂直线上，称为黎曼猜想。一百多年来，无数人试图证明黎曼的猜想，但到目前为止，还没有人能达到顶峰。1900年，德国著名数学家希尔伯特在巴黎国际数学家会议上提出了20世纪数学家们应该解决的23个数学问题，即著名的“希尔伯特23问题”，被认为是20世纪数学的制高点，包括里曼C。