Daniela Rus has spent her career breaking barriers—scientific, social, and material—in her quest to build machines that amplify rather than replace human capability. She made robotics her life’s work, ...

MIT、Improbable AI Lab与ETH Zurich的研究团队在2025年1月发表了一项关于人工智能持续学习的重要研究，该论文发表于arXiv，编号为arXiv:2601.19897v1。这项研究提出了一种名为"自我蒸馏微调" (Self-Distillation Fine-Tuning, SDFT)的创新方法，有效解决了人工智能模型在学习新技能时容易忘记已掌握技能的难题。