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Microsoft Research

@MSFTResearch英文区其他X 主页 数据 9月8日 21:00 — 10月30日 04:38
日均 0.5 条活跃 20 天带媒体 92%
帖子
25
活跃 20 天 / 跨度 53 天
中位浏览
979
P90 1.9万 · 平均 5,794
互动率
0.4%
中位赞 5 · 最高 165

发布节奏

最近 12 周
09-07
09-14
09-21
09-28
10-05
10-12
10-19
10-26
柱状图,最大值 5 条

每周中位浏览

最近 12 周
09-0709-2110-0510-1910-26
峰值 2.1万

发布时间

颜色 = 中位浏览
最佳时段 23:00最佳星期 周二更优形式 纯文字
036912151821
一
二
三
四
五
六
日
少多

爆款 vs 日常

爆款 = 浏览前 10%
指标爆款日常
帖子322
带媒体100%90.9%
回复0%0%
平均字数359302
中位浏览2.1万908

打法建议

只陈述相关性
  • 互动最好的时段是 23:00 前后(北京时间),中位浏览 1,106。
  • 一周里 周二 的中位浏览最高。
  • 形式上 纯文字 的中位浏览更高(979 vs 4,828)。
  • 爆款里带媒体占 100%、回复占 0%;日常分别是 90.9%、0%。
  • 当前节奏约 0.5 条/天,日均浏览 5,794。

内容结构

按本站分析的分类(近 120 天)
  • 论文7
  • 产品5
  • 产业5
  • 观点3
  • 模型1
Microsoft · 24论文/研究 · 7Agent · 6产品更新 · 5行业动态 · 5其他 · 4大佬观点 · 3安全/对齐 · 2多模态 · 2数据/训练 · 2编码 · 2评测/基准 · 2

形式与语言

帖子占比
  • 视频20
  • 图片3
  • 纯文字2
英文 · 25

回复占比 0% · 引用 4% · 带媒体 92%

互动最高的帖子

按浏览排序
  1. 1

    Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. https://msft.it/6014acaRn

    浏览 3.3万赞 165转 319月30日 00:24原帖
  2. 2

    Robots are getting smarter, but how can their hardware match that growth? New Microsoft Research findings show that moving AI inference beyond the robot can improve task success, boost efficiency, and support more advanced physical AI workloads. https://msft.it/6014agepg

    浏览 2.1万赞 139转 169月24日 00:04原帖
  3. 3

    Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis, helping researchers explore a wide range of molecules.: https://msft.it/6012a5Ogy

    浏览 2.1万赞 155转 329月21日 23:32原帖
  4. 4

    A look at how coding agents behave at scale; evaluating AI models that find lymphoma lesions in PET/CT scans; understanding AI chatbot dependence; and advancing large-scale decision-making systems. Dive into the latest issue of Research Focus.: https://msft.it/6016abyrY

    浏览 1.7万赞 56转 139月15日 00:10原帖
  5. 5

    Curious about what a future in research could look like? The Microsoft Research Undergrad Internship Program offers hands-on research experience, mentorship, and a chance to explore advanced study. Rising juniors and seniors can apply for 12-week internships in Redmond, NYC, or New England. Apply by October 5: https://msft.it/6014aXVWM

    浏览 1万赞 32转 159月8日 21:00原帖
  6. 6

    Securing data when trusted hardware is compromised; monitoring underwater recordings to protect endangered whales; Living Library enables conversations with historical figures; AI builders should listen to the young people who will ultimately use it. https://msft.it/6013acHnt

    浏览 1万赞 10转 29月29日 00:15原帖
  7. 7

    Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world value: https://msft.it/6019acwE5

    浏览 1万赞 14转 29月29日 09:46原帖
  8. 8

    How is AI reshaping the way we work? Join researchers, builders, and practitioners at The New Future of Work Summit on Sept. 14 for practical workshops, live demos, and research-backed insights on AI and agents. Free and open to all. Register: https://msft.it/6013akn9U

    浏览 9,105赞 22转 89月10日 02:25原帖
  9. 9

    The first intern at Microsoft Research Asia–Tokyo arrived as a computer vision researcher. She left with a broader view of physical intelligence, spanning perception, language, learning, and real-world action. https://msft.it/6011a0uOb

    浏览 1,182赞 3转 010月29日 01:18原帖
  10. 10

    The most important AI failures may not be the obvious ones. Microsoft Partner Research Manager Jennifer Neville explains to host Chad Atalla why “surprising failures” can reveal where human expectations about intelligence diverge from how AI systems actually work. https://msft.it/6017aU8r7

    浏览 1,106赞 0转 010月8日 23:00原帖
  11. 11

    StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics: https://msft.it/6013aS3JF

    浏览 1,014赞 7转 110月13日 00:34原帖
  12. 12

    Introducing Microsoft Research Focus, a new way to catch up on research news from across Microsoft. In this edition, we're covering advances in AI agents, what patterns in everyday AI usage reveal about how people work, BioEmu2's public preview, and research aimed at improving weather forecasts weeks in advance. Watch the full video here or listen on major podcast platforms.

    浏览 988赞 3转 110月30日 04:38原帖

点赞、转发、浏览是采集那一刻的快照,不是帖子最终数据;时间为北京时间。KPI 卡片里的同比只在账号有 8 周以上数据时显示, 否则只看近 4 周。“打法建议”只说明数据里的相关性,不代表因果。