Author: Machine Learning Group Time-series forecasting is crucial across various industries, including health, energy, commerce, climate, etc. Accurate forecasts over different prediction horizons are essential for both short-term and long-term planning needs across these domains. For instance, during a public health…
Author: Youshan Miao Today, deep learning has permeated our daily lives. As the size of models continues to grow, training these models on massive GPU accelerators has become increasingly time-consuming and costly. To effectively harness the power of massive GPUs…
In the news | Businessabc
Dinis Guarda interviews Juan M. Lavista Ferres, Microsoft CVP and Chief Data Scientist, and Director of Microsoft AI for Good Lab, to discuss the key AI For Good initiatives taken by Microsoft for the benefit of humanity. The Dinis Guarda YouTube Podcast is powered by Businessabc.net, Citiesabc.com,…
Explore multimodal & small language models, plus advanced benchmarks for AI evaluation. Microsoft researchers are working on breakthroughs in weather prediction, materials design, even a new kind of computer for AI inference and hard optimization problems.
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...
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
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…
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
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…