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In the news | BigThink

Will AI replace mathematicians? 

June 21, 2021

If computers can beat us at chess, maybe they could beat us at math, too. Most everyone fears that they will be replaced by robots or AI someday. A field like mathematics, which is governed solely by rules that computers…

Awards | IEICE

Katsu Ikeuchi receives Distinguished Achievement and Contributions Award 2021 

June 21, 2021

Katsu Ikeuchi's contributions to the electronics, information and communication field have been outstanding, and as such the IEICE presented him with the Distinguished Achievement and Contributions Award 2021. In the field of “computer vision,” a technology able to recognize and…

Articles

KDD Cup 2021 | 微软亚洲研究院Graphormer模型荣登OGB-LSC图预测赛道榜首 

June 20, 2021

编者按:在刚刚结束的由 KDD Cup 2021 和 Open Graph Benchmark 官方联合举办的第一届 OGB Large-Scale Challenge 中,来自微软亚洲研究院的研究员和大连理工大学等高校的实习生们通过借鉴 Transformer 模型的思路,创新性地提出了可应用于图结构数据的 Graphormer 模型,在大规模分子性质预测任务中击败了全球包括 DeepMind...

In the news | Nature

Mathematicians welcome computer-assisted proof in ‘grand unification’ theory 

June 18, 2021

Proof-assistant software handles an abstract concept at the cutting edge of research, revealing a bigger role for software in mathematics. Peter Scholze wants to rebuild much of modern mathematics, starting from one of its cornerstones. Now, he has received validation…

In the news | Microsoft Worklab

Designing the New Hybrid Meeting Experience—for Everyone 

June 17, 2021

How teams from across Microsoft worked together to help remote and in-person workers see eye to eye. It began with a couple of folding tables from Costco. In November, Greg Baribault, a product leader for Microsoft Teams, and his colleague…

In the news | Protocol

How Microsoft designed a radical future for hybrid meetings 

June 17, 2021

We should probably start by talking about the table. It's a long, wooden conference room table, much like the ones in every office everywhere, but three things about it stand out. All the chairs are on the same side of…

Diagram: The proposed SOLOIST model architecture and training objectives. Dialog history, Belief state, DB state, and Response make up the pipeline. Task 1, belief state prediction, corresponds with belief state. Task 2 and Task 3, grounded response generation and contrastive objective correspond with response. A user is shown thinking a goal, which points from the dialog history to the user (response), and then back to dialog history (input). Belief state points down to an image of a computer server (Belief state query) and then back to DB State (DB state results). The server points to readouts labeled “entity.”
Microsoft Research Blog

SOLOIST: Pairing transfer learning and machine teaching to advance task bots at scale 

June 16, 2021 | Baolin Peng, Chunyuan Li, Jinchao Li, Lars Liden, and Jianfeng Gao

The increasing use of personal assistants and messaging applications has spurred interest in building task-oriented dialog systems (or task bots) that can communicate with users through natural language to accomplish a wide range of tasks, such as restaurant booking, weather…

Dr. Hunt Allcott and Evan Rose on the Microsoft Research Podcast
Microsoft Research Podcast

Econ4: Uncovering how decision-making shapes individuals and society through behavioral public economics featuring Evan Rose and Hunt Allcott 

June 16, 2021

In this episode, Senior Principal Researcher Hunt Allcott talks with Postdoctoral Researcher Evan Rose about Allcott’s work exploring the everyday decisions people face, like buying fuel-efficient cars or taking out payday loans, and how a clearer understanding of these decisions…

jumping and dancing happy people
Articles

Designing for delight: Five patterns to building delightful UX 

June 15, 2021

Delight might seem like an unimportant component, but it is the icing on the cake of a remarkable customer experience. For me and my team, delivering delightful UX requires us to collectively reimagine every experience we build. Delightful UX isn’t just a bolt on, and…

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