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Microsoft Research Focus 11 edition, week of March 06, 2023
Microsoft Research Blog

Research Focus: Week of March 6, 2023 

March 8, 2023

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. Attack methods like Spectre (opens in new tab) exploit speculative execution, one of…

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完成一幅计算机学术生态的拼图,少不了这些“斜杠女性” 

March 8, 2023

在微软亚洲研究院学术合作部,来自不同国家、有着不同学术背景和人生阅历的女性,正在以各自所擅长的方式,为跨领域研究搭建沟通协作的桥梁。这些“斜杠女性”有着不拘一格的职场哲学与处世之道,她们也更加乐于在开放、多元、包容的氛围中,为研究院连接众多合作伙伴,以自己的热情和智慧,为广阔的计算机学术生态拼图填补着不可或缺的板块。 Miran Lee,微软亚洲研究院学术合作总监 国籍:韩国 关系管理能手/ 自主...

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Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback 

March 7, 2023

Large language models (LLMs), such as ChatGPT, are able to generate human-like, fluent responses for many downstream tasks, e.g., task-oriented dialog and question answering. However, applying LLMs to real-world, mission-critical applications remains challenging mainly due to their tendency to generate…

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从LLM到MLLM,多模态大规模语言模型KOSMOS-1赋予了语言模型看见世界的能力 

March 2, 2023

作者:机器之心 在 NLP 领域,大规模语言模型(LLM)已经成功地在各种自然语言任务中充当通用接口。只要我们能够将输入和输出转换为文本,就能使得基于 LLM 的接口完成一个任务。举例而言,对于摘要任务,我们能够将文档输入到语言模型,语言模型就可以生成摘要。 尽管 LLM 在 NLP 任务中取得了成功的应用,但研究人员仍努力将其原生地用于图像和音频等多模态数据。作为智能的基本组成部分,多模态感知是...

In the news | Julia Chatterly - CNN

Eyes in the sky – Planet Labs satellites track a changing globe 

March 1, 2023

“It’s helping to lift the fog of war. No longer can anyone hide.” @planet  Labs CEO  @Will4Planet on how their satellite data and AI is transforming damage assessment in #Ukraine & #Turkey, tackling food security & deforestation.

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SMART – A Generalized Pretraining Framework for Control Tasks 

February 27, 2023

We are announcing SMART, a generalized pretraining framework for a wide variety of control tasks. Self-supervised pretraining of large neural networks (BERT (opens in new tab), GPT (opens in new tab), MoCo (opens in new tab), and CLIP (opens in…

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Responsible AI Mitigations and Tracker: New open-source tools for guiding mitigations in Responsible AI 

February 27, 2023

Responsible AI Mitigations: https://github.com/microsoft/responsible-ai-toolbox-mitigations (opens in new tab) Responsible AI Tracker: https://github.com/microsoft/responsible-ai-toolbox-tracker (opens in new tab) Authors: Besmira Nushi (Principal Researcher) and Rahee Ghosh Peshawaria (Senior Program Manager) The goal of responsible AI is to create trustworthy AI systems that…

Flowchart showing how responsible AI tools are used together for targeted debugging of machine learning models: the Responsible AI Dashboard for the identification of failures; followed by the Responsible AI Dashboard and Mitigations Library for the diagnosis of failures; then the Responsible AI Mitigations Library for mitigating failures; and lastly the Responsible AI Tracker for tracking, comparing, and validating mitigation techniques from which an arrow points back to the identification phase of the cycle to indicate the repetition of the process as models and data continue to evolve during the ML lifecycle.
Microsoft Research Blog

Responsible AI: The research collaboration behind new open-source tools offered by Microsoft 

February 27, 2023

As computing and AI advancements spanning decades are enabling incredible opportunities for people and society, they’re also raising questions about responsible development and deployment. For example, the machine learning models powering AI systems may not perform the same for everyone…

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Microsoft programmable RAN platform with dynamic service models 

February 24, 2023

Virtualization of telco networks is beginning to happen in Radio Access Networks (RAN), especially regarding Open Radio Access Networks (O-RAN). However, there are some obstacles to this trend. The current O-RAN architecture limits programmability to predefined telemetry and control that…

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