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In the news | Fast Company

The data center of the future is made of algae bricks and runs on hydrogen fuel cells 

October 27, 2021

Every year for the foreseeable future, Microsoft expects to build 50-100 new data centers to keep up with customer demand. That’s a challenge for a company that has a goal to soon be carbon negative—meaning it sequesters more carbon that…

Awards | ACM - SOSP

Daniel Berger receives SOSP 2021 Best Paper Award 

October 26, 2021

Daniel Berger's paper, Kangaroo: Caching Billions of Tiny Objects on Flash, was selected as a best paper by the SOSP'21 organizers for its quality and potential impact.

Articles

2021年“微软学者”奖学金亚洲地区11人名单公布! 

October 22, 2021

2021年“微软学者”奖学金共吸引了来自全亚洲50所顶尖研究型大学及机构的157名优秀博士生申请,申请者的研究领域广泛分布于计算科学、硬件与软件系统、人类与机器智能,及感知、识别与交互等领域。经过重重筛选,来自亚洲地区的11名优秀博士生最终被授予2021年“微软学者”称号,另有17名博士生获得提名奖。 本次“微软学者”奖学金的获得者们既脚踏实地也仰望星空:他们在认真探索科研的同时,怀揣着以科学、技...

In the news | Microsoft Green Tech Blog

Charting the path towards sustainable AI with Azure Machine Learning resource metrics 

October 22, 2021

Today, we are announcing a new set of resource metrics available in Azure Machine Learning to help customers understand the computational and energetic costs of their AI workloads across the machine learning lifecycle. Azure Machine Learning is a platform that…

In the news | EPFL News | October, 2021

Ultrafast optical switching can save overwhelmed datacenters 

October 20, 2021

EPFL and Microsoft Research scientists demonstrated ultrafast optical circuit switching using a chip-based soliton comb laser and a completely passive diffraction grating device. This particular architecture could enable an energy-efficient optical datacenter to meet enormous data bandwidth requirements in future.

In the news | Microsoft Stories

This non-profit is protecting vulnerable communities from the effects of climate change with AI 

October 20, 2021

Armed with Microsoft’s AI for Humanitarian Action grant, SEEDS is using AI to save lives during disasters.

On left, text reads ORBIT benchmark dataset: 77 blind and low-vision collectors, 486 objects, 3822 videos, and 2687934 frames. On right, a graphic of a face mask with a line that connects to a picture of a cloth mask with a black and white zig-zag pattern. The line reads seven to eight videos per object. Below the face mask graphic, there are three yellow objects resembling a watering can, a key, and a comb. A line next to these reads two to ten objects per user. The objects are falling into a green bucket, with a line to the right of the bucket that reads user’s bucket.
Microsoft Research Blog

Announcing the ORBIT dataset: Advancing real-world few-shot learning using teachable object recognition 

October 19, 2021 | Daniela Massiceti, Cecily Morrison, Katja Hofmann, and Ed Cutrell

Object recognition systems have made spectacular advances in recent years, but they rely on training datasets with thousands of high-quality, labelled examples per object category. Learning new objects from only a few examples could open the door to many new…

customers rating an experience with dial pointing to the most positive
Articles

Driving a customer driven mindset in a tech organization 

October 19, 2021

We have learned a lot about blockers to customer obsession, and what behaviors we see in teams and individuals that ultimately leads to a more empathetic, customer driven organization. From research conducted across our organization, I wanted to highlight two…

Daniela Massiceti Summit Talk

In the news | Microsoft Research Summit

Research Talk at Microsoft Research Summit 2021 

October 19, 2021

We’re entering a technological era that is all about “me”—from personalized shopping recommendations to avatars, and even bespoke healthcare treatments. Deeper inspection of artificial intelligence (AI) systems, however, reveals that “me” is not really me. The coarse-grained ways that AI…

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