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AAAI 2022|AI顶会论文究竟关注什么? 

January 27, 2022

编者按:AAAI 是由人工智能促进协会(Association for the Advancement of Artificial Intelligence)主办的人工智能领域顶级学术会议之一。今年的AAAI 大会将于2月22日-3月1日举办,微软亚洲研究院共有十余篇论文入选,涵盖概念漂移、平面布局自动生成、假新闻检测、视频分割、跨语言预训练、文本摘要、注意力机制、连续深度神经网络、领域泛化、在线...

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Supply Chain News for your Digital Twin 

January 27, 2022

Authors: Tommy Guy, Allie Giddings, Chhaya Methani Microsoft Dynamics 365 Supply Chain Insights is a new product that helps predict risks and manage your supply chain through three main functions. It increases visibility of risks affecting your supply chain. It…

In the news | Tech Monitor

Big Tech is coming for the weather 

January 27, 2022

Bad weather threatens the future of a farm in a variety of ways. Rain, of course is welcome; a prolonged downpour, however, is liable to drown or wash away a newly sown crop. Rapid changes in temperatures are also dangerous.…

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在科学“法师们”的眼中,科研合作有怎样的魔力? 

January 25, 2022

编者按:30年前,微软公司创始人比尔·盖茨设想有朝一日电脑将会看、听、读和学习,并以此为目标在1991年创立了微软研究院,专注于前沿技术的研究和创新。30年后的今天,我们步入了智能时代,比尔·盖茨当初对电脑的设想已经成真。30年间,微软研究院的科学家们是如何相互合作,一步一步将想法变为现实的? 在庆祝微软研究院成立30周年的系列活动中,微软研究院以“Generations of inspirati...

In the news | The Atlantic

Satellites Are Spotting the Beached Whales We Never Would Have Found 

January 22, 2022

The National Oceanic and Atmospheric Administration (NOAA), Microsoft, the satellite company Maxar, and other public- and private-sector partners are developing a system that automatically identifies marine mammals in satellite images. Called GAIA (Geospatial Artificial Intelligence for Animals), the project aims…

Tie-Yan Liu
Articles

微软亚洲研究院副院长刘铁岩博士获选2021 ACM Fellow 

January 19, 2022

今天,国际计算机学会(Association for Computing Machinery,简称ACM)公布了2021年度ACM Fellow名单,以表彰来自世界各地高校、企业和研究机构的研究人员,在算法、计算机科学教育、密码学、数据安全和隐私、医疗信息学以及移动和网络系统等领域的贡献。微软亚洲研究院副院长刘铁岩博士因其在机器学习算法及应用方面所做出的卓越贡献获选 2021 ACM Fellow...

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Articles

Lots of ideas, but not sure how to prioritize? The Kano model can help. 

January 19, 2022

The first step to using an idea is knowing which idea to use. It is important to learn which ideas will bring the most value to your customers before choosing what to focus on. One method that can be used…

DeepSpeed shares findings and innovations for MoE models and systems that 1) reduce training cost by 5x, 2) reduce MoE parameter size by up to 3.7x and 3) reduce MoE inference latency by 7.3x at an unprecedented scale and offer up to 4.5x faster and 9x cheaper inference for MoE models compared to quality-equivalent dense models.
Microsoft Research Blog

DeepSpeed: Advancing MoE inference and training to power next-generation AI scale 

January 19, 2022 | DeepSpeed Team and Andrey Proskurin

In the last three years, the largest trained dense models have increased in size by over 1,000 times, from a few hundred million parameters to over 500 billion parameters in Megatron-Turing NLG 530B (MT-NLG). Improvements in model quality with size…

Awards | ACM

Four Microsoft researchers named as 2021 ACM Fellows 

January 19, 2022

Four Microsoft researchers were among those honored for 2021: Nikolaj Bjorner, Tie-Yan Liu, Ryen White, and Tom Zimmermann. ACM Fellows includes the top 1% of ACM members for their outstanding accomplishments in computing and information technology and/or outstanding service to…

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