Chinese AI advances in geometry at top US maths Olympiad

Researchers say the Chinese-developed TongGeometry system not only outperforms American competitors in solving problems but also generates mathematical ones, with three appearing in a 2024 Chinese national team qualifying exam and a top US Olympiad.

Researchers from the Beijing Institute for General Artificial Intelligence and Peking University have developed TongGeometry, a system that outperforms American competitors, such as Google DeepMind's AlphaGeometry, in solving geometry problems. Unlike existing models limited to problem-solving, it can also generate mathematical problems—three of which appeared in a 2024 Chinese national team qualifying exam and a top US Olympiad. The developers of TongGeometry said the system “functioned more like a coach who both designs training problems and guides solution strategies, rather than merely a student who solves given problems”. Drawing on 196 past Olympiad geometry problems, the system generated 6.7 billion geometry problems that required auxiliary constructions. It runs on an NVIDIA RTX 4090 GPU and was published in Nature Machine Intelligence, with involvement from New York University researchers. This advancement highlights Chinese AI's progress in the International Mathematical Olympiad, pushing beyond the constraints of prior models.

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Chinese minister announces China's AI sector exceeding $165 billion at National People's Congress, with futuristic AI graphics on display.
صورة مولدة بواسطة الذكاء الاصطناعي

China's AI sector tops $165 billion in 2025, minister says

من إعداد الذكاء الاصطناعي صورة مولدة بواسطة الذكاء الاصطناعي

The output of China's core artificial intelligence industry exceeded 1.2 trillion yuan ($165 billion) in 2025, with more than 6,200 companies operating in the field, said Li Lecheng, head of the Ministry of Industry and Information Technology. The remarks came after the opening meeting of the fourth session of the 14th National People's Congress in Beijing on Thursday.

شركة ناشئة جديدة في مجال الرياضيات بالذكاء الاصطناعي تُدعى Axiom قد حلت، حسب التقارير، أربع مشكلات رياضية عريقة، مما يُظهر تقدماً في استدلال الذكاء الاصطناعي. تعاملت الذكاء الاصطناعي للشركة مع تحديات في مجالات مثل الهندسة الجبرية ونظرية الأعداد التي حيرت الرياضيين لسنوات. يبرز هذا التطور القدرات المتزايدة للذكاء الاصطناعي في مواجهة الألغاز الأكاديمية المعقدة.

من إعداد الذكاء الاصطناعي

At the AGI-Next summit in Beijing, Alibaba AI scientist Lin Junyang warned that China has less than a 20% chance of exceeding the US in artificial intelligence over the next 3 to 5 years due to resource limits. He pointed out the gap, with US firms like OpenAI pouring massive computational resources into next-generation research while China is stretched thin just meeting daily demands.

Chinese AI pioneer SenseTime is leveraging its computer vision roots to lead the next phase of AI, shifting towards multimodal systems and embodied intelligence in the physical world. Co-founder and chief scientist Lin Dahua stated that this approach mirrors Google's, starting with vision capabilities as the core and adding language to build true multimodal systems.

من إعداد الذكاء الاصطناعي

أصدرت Google نموذج Gemini 3.1 Pro، وهو إصدار محدث من نموذج الذكاء الاصطناعي الرئيسي لها، مع التركيز على التحسينات في حل المشكلات والتفكير المنطقي. النموذج متاح في معاينة للمطورين والمستهلكين بدءًا من اليوم. يبني على إصدار Gemini 3 من نوفمبر.

يَتَوَقَّعُ الخبراء أنْ يَكُونَ عامُ 2026 العامَ الْمُحَوِّلَ لِنَمَاذِجِ الْعَالَمِ، أَنْظِمَةُ الذُّكَاءِ الاصْطِنَاعِيِّ مُصْمَمَةٌ لِفَهْمِ الْعَالَمِ الْمَادِّيِّ بِعُمْقٍ أَكْبَرَ مِنَ النَّمَاذِجِ الْكَبِيرَةِ لِلْلُغَةِ. تهدفُ هَذِهِ النَّمَاذِجُ إِلَى تَرْسِيخِ الذُّكَاءِ الاصْطِنَاعِيِّ فِي الْوَاقِعِ، مُمَكِّنَةً تَقْدِمَاتٍ فِي الرُّوبُوتَاتِ وَالْمَرْكَبَاتِ الْمُسْتَقِلَّةِ. يُبَرْزُ قَادَةُ الصِّنَاعَةِ مِثْلُ Yann LeCun وَFei-Fei Li إِمْكَانِيَّاتِهَا لِثَوْرَةِ الْذَّكَاءِ الْمَكَانِيِّ.

من إعداد الذكاء الاصطناعي

Alibaba chairman Joe Tsai has credited China’s advantages in artificial intelligence to investments in its power grid and open-source models. He stated that such massive investments have provided ample supply and low costs for the energy-intensive AI sector. China’s industrial depth highlights vast potential for AI applications, Tsai said.

 

 

 

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