你是否计划出国,但期望获得更为顶级的学府Offer? 你是否希望在出国读博之前拥有一段心无旁骛的研究经历,积累更为扎实的研究经验? 你是否希望在国际化的平台与研究环境中,体验多元与包容的企业文化? 你是否对计算机领域有浓厚的兴趣,希望结合自己的学科背景在顶级研究院做交叉研究?
自第一期问答上线以来,树洞又收到了许多来自四面八方的在计算机领域科研、学习中听不到的“呐喊”。 筛选、归类过树洞收到的内容后,我们为提问的你咨询了微软亚洲研究院在相关领域最适合的解答者。 站在人生的十字路口,难免需要直面选择时附加的焦虑、疑惑与自我怀疑。 如何克服申请博士前不敢开口套瓷的心理障碍?心仪的领域专业知识门槛太高,觉得自己不配怎么办?科研小白如何读提升读论文的效率?对很多研究领域都感兴趣...
| Hitesh Ballani
Picture a world where computing is not limited by the binary confines of zeros and ones, but instead, is free to explore the vast possibilities of continuous value data. Over the past three years a team of Microsoft researchers has…
In the news | Microsoft News Centre UK
The National Health Service at Addenbrooke’s Hospital in Cambridge is now able to plan radiotherapy treatments faster than in the past, thanks to AI advances that are cutting wait times. As the NHS approaches its 75th birthday, it continues to…
In the news | Finextra
Microsoft has enlisted Barclays to help it test the world’s first analog optical computer that uses photons and electrons to process continuous value data.
In the news | Microsoft Innovation
There’s an old saying: When the only tool you have is a hammer, every problem looks like a nail. Sometimes referred to as “the law of the instrument,” that hammer-and-nail idea is a common pitfall in research; when you’re not…
In the news | BBC Newsnight
A new type of artificial-intelligence technology that cuts the time cancer patients must wait before starting radiotherapy is to be offered at cost price to all NHS trusts in England. It helps doctors calculate where to direct the therapeutic radiation…
In this issue: Our new Responsible AI Maturity Model; FoundWright helps “re-find” web pages; Trace-guided Inductive Synthesis of Recursive Functional Programs; a wait-free algorithm for weak reference counting; and new research on concurrency testing.
In the news | This American Life
This American Life’s David Kestenbaum (NPR) interviewed Peter Lee, Sébastien Bubeck, Ece Kamar, and Ronen Eldan about their experiments with GPT-4 and the emerging capabilities of large language models, using examples from the “Sparks” paper.