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Recently, an AI system developed by Google DeepMind—AlphaGeometry2—has successfully surpassed the average level of gold medalists at the International Mathematics Olympiad (IMO), demonstrating outstanding performance in solving geometry problems. AlphaGeometry2 is an upgraded version of the AlphaGeometry system released by DeepMind last year. According to the latest research from the research team, this system can solve 84% of the geometry problems from the IMO over the past 25 years.

Today, the Alibaba Cloud Tongyi team officially released the new mathematical reasoning process reward model Qwen2.5-Math-PRM. This model offers two sizes, 72B and 7B, with performance significantly outperforming similar open-source process reward models, especially excelling in identifying reasoning errors. The 7B version of Qwen2.5-Math-PRM astonishingly surpasses the widely popular GPT-4o, marking an important step in Alibaba Cloud's research and development of reasoning models.

Today, iFlytek officially launched its first deep reasoning large model, the Xunfei Spark Deep Reasoning Model X1, trained on a fully domestic computing power platform. This innovative achievement marks another significant advancement for iFlytek in the field of artificial intelligence. The Xunfei Spark Deep Reasoning Model X1 demonstrates characteristics similar to human 'slow thinking' during problem-solving, while achieving industry-leading results with relatively low computing power, with several key metrics ranking first in the country. Particularly in Chinese mathematical capabilities, this model performs exceptionally well, showcasing strong technical prowess.

In the vast universe of artificial intelligence, mathematics has long been considered the last bastion of machine intelligence. Now, a new benchmarking test named FrontierMath has emerged, pushing AI's mathematical reasoning capabilities to unprecedented limits. Epoch AI has collaborated with over 60 top minds in mathematics to create this challenge, which can be described as the 'Olympics of Mathematics' for AI. This is not just a technology test; it is the ultimate interrogation of artificial intelligence's mathematical wisdom. Imagine a laboratory filled with the world's top mathematicians, meticulously designing...

Recently, world-renowned mathematician Terence Tao stated in an interview with The Atlantic that artificial intelligence may never replace human mathematicians. Tao, recognized as 'the greatest living mathematician,' believes there is a fundamental difference between artificial intelligence and human mathematicians. Note: The image is AI-generated and provided by image licensing service Midjourney. Tao pointed out that the key difference between a graduate student and artificial intelligence is that a graduate student learns and progresses. While artificial intelligence can temporarily correct its course when faced with failure, it sometimes may not fully adapt.

Following OpenAI's GPT-4 achieving remarkable results in traditional mathematics assessments, the research teams from Peking University and Alibaba have jointly launched a brand new evaluation benchmark - Omni-MATH, aimed at assessing the reasoning abilities of large language models at the level of the Olympic mathematics competitions. This initiative not only provides a new standard for evaluating AI mathematics capabilities but also opens up new avenues for exploring AI's potential in advanced mathematics. The unique design of Omni-MATH includes a database of 4,428 competition-level mathematics problems.

Google DeepMind's AI systems AlphaProof and AlphaGeometry2 achieved remarkable results in the International Mathematical Olympiad, winning silver medals and demonstrating astonishing capabilities in solving mathematical problems. AlphaGeometry2 solved a geometric problem in 19 seconds, surpassing the speed and accuracy of top human mathematicians. This achievement has been highly praised by legendary figures in the mathematics community, who believe it expands the boundaries of AI applications in the field of mathematics. Terence Tao noted that advances in AI will aid mathematical research.

Google DeepMind's mathematical artificial intelligence model has made significant progress in this year's International Mathematical Olympiad (IMO). According to official reports, the formal mathematical reasoning model AlphaProof and the improved geometric solving model AlphaGeometry2 successfully tackled four out of the six challenging problems in this year's IMO, reaching levels comparable to that of human silver medalists for the first time.

In the recently concluded International Mathematical Olympiad, Google's DeepMind AI systems, AlphaProof and AlphaGeometry2, showcased remarkable problem-solving abilities, finishing just one point shy of the championship while surpassing human competitors in speed and accuracy. The AI achieved perfect scores on four problems and solved one in an astonishing 19 seconds, adhering to mathematical competition standards with rigorous clarity. This com....

TAL Education focuses on mathematical scenarios and AI dialogue learning, launching MathGPT, the first large model specialized in mathematics in China. MathGPT provides detailed answers to mathematical problems, including analysis, detailed explanations, and key insights. The TAL Learning Machine becomes the core product implementing MathGPT, incorporating features such as AI dialogue learning and problem-solving assistance. AI dialogue learning locates students' weaknesses through multi-turn conversations and has received both positive feedback and some criticisms from parents. In the second quarter of 2023, the TAL Learning Machine shipped 90,000 units, ranking fourth in the domestic learning tablet market.

Terence Tao successfully applied AI tools to formalize the proof of the polynomial Freiman-Ruzsa conjecture, garnering significant attention in the mathematical community. He meticulously documented the process of formalizing the proof using Blueprint in Lean4, emphasizing the importance of correctly utilizing AI tools. With the help of the Blueprint tool, Tao's team decomposed the proof process and successfully formalized the PFR conjecture through the parallel efforts of numerous contributors. Tao believes that the mainstreaming of formalized proofs or the creation of proofs that are both human-readable and machine-verifiable will evolve mathematics.

Peking University has introduced the GPT-4 based AI teaching assistant Brainiac Buddy to enhance learning and teaching experiences. Founder Dong Bin, with a background in mathematics and machine learning, aims to improve teaching efficiency. Students can hand over complex materials to the AI assistant, which highlights key content and answers questions, enhancing learning efficiency. Teachers can share lesson plans with the AI to assist in developing teaching strategies, saving time. Brainiac Buddy offers personalized and customized learning experiences, driving progress in the field of education.