Microsoft Research
Asia – Vancouver
Microsoft Research Asia’s Hub in Vancouver, BC
新闻与深度文章
As cloud AI workloads grow in complexity and scale, maintaining high system reliability has become crucial. Traditional methods of ensuring system reliability, such as using redundant components, inadvertently introduce a new problem: subtle performance degradation, also known as “gray failures”.…
In this issue: Research Forum Ep. 4 explores multimodal AI. Registration is now open; Surveying developers’ AI needs; SuperBench improves cloud AI infrastructure reliability; Virtual Voices: Exploring factors influencing participation in virtual meetings.
Unified databases offer better knowledge transfer between multimodal data types. They provide substantial corpus support for large language models and are poised to drive innovation in underlying hardware, laying the foundation for data-enhanced AI.
奖项 | USENIX ATC 2024
Best Paper Award at USENIX ATC 2024
Our paper titled “SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation” received the Best Paper Award at the 2024 USENIX Annual Technical Conference (USENIX ATC ’24).
“Before I became an intern at Microsoft Research Asia (MSR Asia), my knowledge of the institute was a paper on ResNet (Residual Network),” said Changho Hwang. “In the paper, researchers at MSR Asia introduced the idea of ‘residual learning’ and…