在科学与技术的交汇处，一场科技革命正在悄然兴起，以人工智能（AI）和机器学习（ML）为驱动力，正在重塑基础科学的研究方式。这股革命性力量，不仅旨在推动传统科学方法的创新，还旨在激发解决现代科学面临的最紧迫和复杂问题的途径。这一变革，由“NeurIPS 2024 Workshop 科学基础模型: 进展, 机遇, 挑战”活动的发起，旨在邀请全球科学领域内的专家、学者和研究者，共同探讨AI在科学发现中的应用，以及它对未来科学研究的深远影响。
人工智能与机器学习在科学领域的应用，正在颠覆数百年来探索自然世界的传统逻辑和系统方法。通过引入AI技术，科学家们得以在研究过程中融入数据驱动的决策，从而加速发现过程，拓宽研究视野，提升科研效率。这一过程不仅促进了跨学科的交流合作，也激发了创新性的解决方案，对科学界应对复杂问题的能力产生了积极的推动作用。
现代基础模型，如经过大量数据集训练的语言模型GPT-4和图像文本处理模型CLIP，展示了其在计算机视觉和自然语言处理领域的强大适应性。这些模型不仅提供了针对多种应用的预训练基础，还为解决长期规划、多模态推理等关键挑战提供了可能，这对于机器人、对话系统等复杂应用具有重要意义。通过整合这些基础模型与科学领域的专业知识，研究者正在探索解决科学问题的全新途径，为特定领域应用的定制化奠定了基础。
“NeurIPS 2024 Workshop”特别强调了AI for Science和科学机器学习（SciML）的应用驱动型投稿，旨在鼓励研究者探索AI技术在科学发现中的实际应用，以及如何通过AI与基础模型的整合，改善复杂现象的建模方式，为未来科学研究开辟新的道路。这一活动不仅旨在汇聚全球科学领域的智慧，共同探讨AI与科学融合的前沿趋势，还致力于激发全球科研人员的创新热情，推动科学与技术的进一步发展，为人类社会的可持续发展提供强大的科技支撑。
英语如下：
News Title: “Integration of AI and Foundation Models: The Future Transformation of Scientific Discovery”
Keywords: Foundation Models in Science, AI for Science, Multimodal Processing
News Content: At the confluence of science and technology, a tech revolution is quietly taking shape, powered by artificial intelligence (AI) and machine learning (ML), transforming the research methodology in foundational sciences. This revolutionary force aims not only to innovate traditional scientific approaches but also to uncover pathways to address the most pressing and complex challenges in modern science. Initiated by the “NeurIPS 2024 Workshop: Foundation Models in Science: Progress, Opportunities, and Challenges,” this gathering invites experts, scholars, and researchers from the scientific community worldwide to delve into the application of AI in scientific discovery and its profound implications for future scientific research.
The integration of AI and machine learning in scientific fields is upending the traditional logic and systematic approaches that have guided the exploration of the natural world for centuries. By incorporating AI technologies, scientists are enabled to integrate data-driven decision-making into their research, accelerating the discovery process, broadening their research horizons, and enhancing the efficiency of their research endeavors. This process not only fosters interdisciplinary collaborations but also sparks innovative solutions, positively impacting the scientific community’s capability to address complex issues.
Modern foundation models, such as the GPT-4 language model and the CLIP multimodal processing model, demonstrate their robust adaptability in areas like computer vision and natural language processing. These models not only provide a pre-trained foundation for a wide range of applications but also offer possibilities for tackling critical challenges like long-term planning and multimodal reasoning, which are crucial for applications such as robotics and conversational systems. By combining these foundational models with domain-specific knowledge in science, researchers are exploring novel approaches to solving scientific problems and laying the groundwork for customized applications in specific fields.
The “NeurIPS 2024 Workshop” particularly emphasizes application-driven submissions on AI for Science and scientific machine learning (SciML), encouraging researchers to explore the practical applications of AI technology in scientific discovery and how the integration of AI with foundation models can improve the modeling of complex phenomena, paving new paths for future scientific research. This event aims not only to gather global scientific wisdom to discuss the cutting-edge trends of AI integration with science but also to ignite the innovation enthusiasm of global research personnel, driving further advancements in science and technology to provide robust technological support for sustainable development of human society.
【来源】https://www.jiqizhixin.com/articles/2024-07-20-2
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