编者按:近年来,人工智能在语言处理、视觉生成等领域的表现令人惊叹,但在复杂的数学推理任务上仍面临挑战。微软亚洲研究院推出的新算法 rStar-Math,通过引入类似人类系统的慢思考和推理思维,显著提升了小语言模型(SLMs)的数学推理能力。rStar-Math 打破了“只有大模型才有高性能”的固有观念,证明了小语言模型经巧妙设计,同样能实现卓越的推理效果,甚至在部分奥数级别的挑战中超越了现有大语言...
| Tian Xie
Researchers pull back the curtain on MatterGen and MatterSim, the cutting-edge tools reshaping how we design and innovate advanced materials. Explore the journey from concept to creation driving these AI-powered technologies.
| Lindsay Kalter, Ziheng Lu, and Tian Xie
How do you generate and test materials that don’t exist yet? Researchers Tian Xie and Ziheng Lu share the story behind MatterGen and MatterSim, AI tools poised to transform materials discovery and help drive advances in energy, manufacturing, and sustainability.
| Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Matthew Horton, Ryota Tomioka, and Tian Xie
Microsoft researchers introduce MatterGen, a model that can discover new materials tailored to specific needs—like efficient solar cells or CO2 recycling—advancing progress beyond trial-and-error experiments.
编者按:在人工智能领域,尤其是“文本-视频”(Text-to-Video, T2V)模型的研究中,如何高效生成具有丰富动态和时间一致性的长视频一直是一个挑战。尽管 Transformer 架构和扩散模型在视频生成方面取得了显著进展,但在高分辨率视频的训练成本、基于文本条件的去噪过程的复杂性、长视频生成中的一致性问题等方面仍存在重大挑战。对此,微软亚洲研究院提出了 ARLON 框架,旨在通过结合自回...
| Adam Fourney, Ahmed Awadallah, Cheng Tan, Erkang (Eric) Zhu, Friederike Niedtner, Gagan Bansal, Jack Gerrits, Jacob Alber, Peter Chang, Rafah Hosn, Ricky Loynd, Saleema Amershi, Victor Dibia, XiaoYun Zhang, Li Jiang, Ryan Sweet, Leonardo Pinheiro, Mohammad Mazraeh, Gerardo Moreno Zizumbo, Kosta Petan, Aamir Jawaid, Reuben Bond, Diego Colombo, and Hussein Mozannar
Announcing AutoGen 0.4, fully reimagined library for building advanced agentic AI systems, developed to improve code quality and robustness. Its asynchronous, event-driven architecture is designed to support dynamic, scalable workflows.
In the news | Tech Community
In the news | The Hong Kong University of Science and Technology
香港科技大学(港科大)与微软亚洲研究院签署战略合作备忘录,宣布双方将展开医学健康领域的教育及研究协作,致力循人才培训、革新智慧医疗服务及发展医疗科技研究等三大范畴,全面推动及提升未来医学教育。 根据备忘录,双方将结合各自于科研领域的优势,携手推动医学健康领域的交流与合作。合作方向将涵盖三大范畴,包括(1)利用尖端技术开拓创新医学教育模式,以培养新一代医学人才,应对未来的医疗需求; (2) 探索新兴...