★ Introduction:

In recent years, the rapid evolution of Machine Learning (ML) and Large Language Models (LLMs) has revolutionized the landscape of artificial intelligence, catalyzing wide-ranging applications across industries, academia, and society at large. The convergence of cutting-edge ML techniques and the emergence of powerful industrial foundation models have propelled transformative innovation, yielding unprecedented capabilities in data understanding, automation, and intelligent decision-making. This track brings together leading researchers, practitioners, and industry experts to critically explore the latest advancements, challenges, and future directions in ML, LLMs, and industrial foundation models. Our mission is to foster interdisciplinary dialogue, bridge theoretical research with practical applications, and facilitate collaboration among diverse stakeholders. As industries adopt LLMs and foundation models for real-world tasks (from natural language processing and computer vision to biomedical informatics and autonomous systems) the demand for robust, scalable, and ethical solutions continues to escalate. The themes of this track include foundational advances in ML algorithms, the architectural innovations in LLMs, methodologies for efficient training and deployment, interpretability and fairness, and the socio-economic impact of industrial-scale foundation models. We also invite discourse on emerging topics such as model alignment, responsible AI, multimodal systems, and the democratization of ML technologies. By convening this scholarly community, we aim to spark novel ideas, build sustainable partnerships, and accelerate the responsible development and impactful deployment of ML-driven systems. We encourage participants to share insights, present breakthroughs, and challenge assumptions in a vibrant, inclusive environment. Together, we seek to shape the future of artificial intelligence—advancing scientific excellence and fostering technological progress for global benefit. We warmly welcome you to join us in this stimulating exchange, where knowledge, innovation, and vision converge to redefine the frontiers of machine learning and artificial intelligence.

近年来，机器学习 (ML) 和大型语言模型 (LLM) 的快速发展彻底改变了人工智能的格局，催生了跨行业、学术界乃至整个社会的广泛应用。尖端机器学习技术的融合与强大的工业基础模型的涌现，推动了变革性创新，在数据理解、自动化和智能决策方面产生了前所未有的能力。本专题将汇聚顶尖研究人员、实践者和行业专家，共同批判性地探索机器学习、LLM 和工业基础模型的最新进展、挑战和未来发展方向。该论坛旨在促进跨学科对话，将理论研究与实际应用联系起来，并促进不同利益相关者之间的合作。随着各行各业将法学硕士 (LLM) 和基础模型应用于现实世界的任务（从自然语言处理和计算机视觉到生物医学信息学和自主系统），对稳健、可扩展且符合伦理的解决方案的需求持续增长。本专题的主题包括机器学习算法的基础性进展、大模型的架构创新、高效训练和部署的方法、可解释性和公平性，以及工业规模基础模型的社会经济影响。我们也欢迎就多模态系统以及机器学习技术的民主化等新兴主题进行探讨，该论坛旨在激发创新思维，建立可持续的合作伙伴关系，并加速机器学习驱动系统的负责任开发和有效部署。我们鼓励参与者在充满活力和包容性的环境中分享见解、展示突破性成果并挑战现有假设，并携手塑造人工智能的未来。热忱欢迎您加入我们，参与这场知识创新论坛，重新定义机器学习和人工智能的前沿领域。

★ List some of the topics, but are not limited to: