Core Insights - China's paleontology has gained significant international influence and aims to increase its presence in global scientific discourse through more contributions and recognition in textbooks [1][8]. Group 1: Achievements and Contributions - The 2025 Future Science Prize awarded to scientists for fossil evidence linking birds to dinosaurs highlights China's advancements in paleontology [2]. - Xu Xing, a prominent figure in the field, has published over 300 papers and named more than 80 new dinosaur species, elevating China's status in dinosaur research [2][3]. Group 2: Research Methodologies - The discovery of the earliest known flying dinosaur, the "Qiyulong," challenges traditional views on the evolution of flight, showcasing the importance of advanced imaging techniques like CT scans [3][4]. - The integration of artificial intelligence in paleontological research is becoming more prevalent, aiding in the processing of complex data [5]. Group 3: Future Directions - The future of paleontology is expected to involve a fusion of geological and biological data, enhancing the understanding of evolutionary processes [7][12]. - China's unique fossil resources from the Mesozoic era provide a significant opportunity for impactful research, particularly in reconstructing ancient ecosystems [9]. Group 4: Educational and Institutional Challenges - The field of paleontology faces challenges in talent cultivation due to its niche status and limited job prospects, although public interest is growing [10][11]. - Continuous investment in basic scientific research is essential for the long-term development of paleontology in China [11]. Group 5: Climate Change Insights - Paleontological studies offer critical insights into historical climate changes and their impacts on biodiversity, which can inform current ecological challenges [15][16]. - Understanding past mass extinction events can provide valuable lessons for addressing contemporary environmental crises [15][16].

Core Viewpoint - The year 2025 is anticipated to be transformative for Chinese universities, particularly in the context of integrating artificial intelligence (AI) into education and research, especially in fields like paleobiology [2][11]. Group 1: AI and Education - AI is increasingly being applied in various scientific fields, including paleobiology, for tasks such as rapid fossil identification and classification [11][12]. - The integration of AI into education is seen as a trend that can enhance the development of interdisciplinary talents, emphasizing the need for students to understand both AI technology and biological sciences [11][12]. Group 2: Importance of Knowledge Accumulation - Knowledge accumulation remains crucial in the AI era; without a solid foundation of direct and indirect knowledge, AI analyses may lack substance [21]. - The cultivation of scientific imagination is equally important, as it can lead to significant academic breakthroughs when combined with a strong knowledge base [15][21]. Group 3: Promoting Curiosity and Critical Thinking - Encouraging curiosity and critical questioning among students is essential for fostering innovation; students should feel empowered to express their ideas and challenge established views [9][10]. - The educational approach should focus on nurturing students' ability to combine their experiences with learned knowledge to develop their own ideas, even if those ideas are not fully correct [9][10]. Group 4: Contributions to Paleobiology - The work of paleontologist Shudegan has led to significant discoveries, including the "Three-Act Cambrian Explosion Hypothesis" and the identification of the earliest vertebrate, the "Kunming Fish," which have provided critical insights into animal evolution [4][20]. - Shudegan emphasizes the dual importance of practical knowledge and scientific imagination in advancing research in paleobiology, particularly in the context of AI applications [21][22].

Core Points - The Future Science Prize 2025 was announced on August 6, 2025, in Beijing and Hong Kong, revealing the winners of the "Life Science Prize," "Material Science Prize," and "Mathematics and Computer Science Prize" [1] - The Future Science Prize, established in 2016, aims to recognize outstanding scientific achievements in basic research within mainland China, Hong Kong, Macau, and Taiwan, regardless of nationality [4] Life Science Prize - Winners: Ji Qiang, Xu Xing, and Zhou Zhonghe [5] - They were awarded for their discovery of fossil evidence supporting the theory that birds originated from dinosaurs, transforming a long-standing hypothesis into a widely accepted scientific theory [6][9] Material Science Prize - Winners: Fang Zhong, Dai Xi, and Ding Hong [13] - Their contributions include the computational prediction and experimental realization of topological electronic materials, which are considered one of the most significant advancements in condensed matter physics [15] - Fang Zhong and Dai Xi developed a comprehensive set of computational methods to predict various topological materials, while Ding Hong played a crucial role in experimentally verifying the existence of Weyl fermions in predicted materials [15] Mathematics and Computer Science Prize - Winner: Lu Zhiyuan [23] - Recognized for his inventions and leadership in the fields of non-volatile semiconductor memory unit density, device integration, and reliability [25] - Lu Zhiyuan pioneered next-generation non-volatile memory (NVM) technologies, which have significant implications for artificial intelligence, mobile communications, cloud computing, and edge computing [26]

Core Viewpoint - The research team from China University of Geosciences (Wuhan) and the California Academy of Sciences has developed an innovative ancient ecological simulation methodology that reconstructs ancient food webs from fossil records, expanding the research paradigm in paleobiology [1][2]. Group 1: Research Methodology - The newly established ancient ecological simulation method connects fragmented fossil records into a coherent ancient food web, allowing for a more systematic and macro-level study of ancient ecosystems [1]. - The core of this simulation method lies in deciphering the evolution of ancient ecological structures, addressing challenges in reconstructing ancient food webs and quantitatively assessing ancient community dynamics [1]. Group 2: Applications and Implications - This simulation method is broadly applicable across various ecosystems, both terrestrial and marine, facilitating the transition of paleobiology from qualitative descriptions of single species to quantitative studies of ecosystems [2]. - The research holds significant implications for modern Earth, as it seeks to extract "historical wisdom" from geological records to address contemporary ecological crises, with each instance of ecological collapse and recovery serving as a survival guide for humanity [2].

Core Findings - The discovery of two fossilized nematode fungi, ancient ant nematode fungus and ancient fly nematode fungus, in 100 million-year-old amber from Myanmar provides significant evidence for the co-evolution of fungi and insects [1][5] - The origin of nematode fungi has been pushed back by approximately 30 million years, now estimated to have originated around 130 million years ago during the early Cretaceous period [7][8] Group 1: Research Details - The research team, led by the Nanjing Institute of Geology and Palaeontology, found that nematode fungi are a type of parasitic fungus, with the well-known Chinese medicinal material "Cordyceps" being a member of this family [3] - The two newly discovered fossils exhibit well-preserved morphological structures that can be directly compared to modern species, aiding in understanding their evolutionary history [5] Group 2: Methodology and Analysis - High-resolution analysis methods, including micro-CT, were employed to study the fossils, revealing that the ancient ant nematode fungus parasitized a primitive ant pupa, while the ancient fly nematode fungus was found on a Cretaceous fly [5][7] - The research involved collecting and analyzing genetic data from 120 modern nematode fungi to reconstruct the phylogenetic relationships within the group, using the new fossils as calibration points [7]