Data Formulator：使用prompt就能轻松完成数据可视化
编者按：在使用 AI 驱动的数据可视化工具时，你是否遇到过这些难题？比如，当你想要设计图表时，需要一次性描述你的可视化需求，既冗杂又繁琐；再比如，当你想要更改图表设计时，又需要从头重新输入一遍你的文本提示，AI 可能还会出错。现在，微软雷德蒙研究院深度学习组推出了 Data Formulator 工具。结合图形化用户界面和自然语言输入，该工具可以更加智能地完成你的数据可视化需求，它不仅支持通过简便...
Research Focus: Week of September 23, 2024
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Time-series forecasting is a technique used to predict future values based on previously…
In the news | LATAM Microsoft Stories
Project Guacamaya uses daily satellite images, Amazon-specific AI models in battle against deforestation
The Amazon rainforest is the world’s most complex biological environment, with millions of species of plants, birds and wildlife calling the vast area home, many of which have yet to be studied by scientists. From 2022 to 2023, the Amazon…
为什么你的LLMs玩不转外部知识？RAG分类学助你诊断！
作者：系统组（上海） 编者按：大语言模型在教育、医疗、金融等多领域的应用已展现出其不可忽视的价值。如何更好地结合外部数据，如何提升模型处理专业领域问题的可靠性，是大语言模型应用开发中值得不断思考的问题。针对此，微软亚洲研究院的研究员们提出了一种基于查询需求分层的 RAG 任务分类法，从显式事实、隐式事实、可解释的推理、隐式推理4个层级出发，直指大模型应用在不同认知处理阶段所面临的难点和定制化的解决...
In the news | LinkedIn Article
Juan Lavista Ferres at the United Nations General Assembly’s Summit of the Future
At Microsoft, we’ve seen how digital technology can drive progress toward the Sustainable Development Goals. But technology must be more than just powerful—it must be trustworthy, safe, and inclusive. It’s only when technology empowers everyone, especially the most vulnerable, that…
守护记忆：多模态大模型为认知障碍患者带来全新的训练方法
编者按：每年的9月21日是“世界阿尔茨海默病日”，阿尔茨海默病作为最常见的认知障碍，一直以来都备受关注。研究证明，科学的认知训练可以起到对该疾病的预防和延缓。为此，微软亚洲研究院与上海市精神卫生中心携手展开联合研究，基于微软 Azure OpenAI 服务中的多模态大模型，开发了利用多种模态数据（如语音、文字、图片、音乐等信息）的个性化认知训练框架，为认知障碍患者的认知训练带来了新的可能。 随着全...
金融模型、LLMs结构化剪枝、多模态对齐、AI芯片深度学习编译器
编者按：欢迎阅读“科研上新”栏目！“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里，你可以快速浏览研究院的亮点资讯，保持对前沿领域的敏锐嗅觉，同时也能找到先进实用的开源工具。 本期，我们为大家精心挑选了4篇论文，内容涵盖金融市场元智能体模型、大语言模型的结构化剪枝、多模态感知中的模态对齐以及 AI 芯片的深度学习编译器，感兴趣的朋友快来看看吧！ 本期内容速览 01. 通过扩展式模态...
In the news | Communications of the ACM
AI Should Challenge, Not Obey
“How should we evaluate the legacy of Thomas Jefferson?,” asks a professor of American history. The reply: “The general consensus on Thomas Jefferson is that he was a complex and contradictory figure who championed the ideals of democracy, tolerance, and…
Eureka: Evaluating and understanding progress in AI
| Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi, Hamid Palangi, Eduardo Salinas, Vibhav Vineet, James Woffinden-Luey, and Safoora Yousefi
How can we rigorously evaluate and understand state-of-the-art progress in AI? Eureka is an open-source framework for standardizing evaluations of large foundation models, beyond single-score reporting and rankings. Learn more about the extended findings.