Microsoft Research Lab Asia

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”. Gray failures are caused by the gradual failure of redundant components and are characterized by The post USENIX ATC 2024 best paper | How Microsoft is improving cloud AI infrastructure reliability appeared first on Microsoft Research.

Author: Machine Learning Group Time-series forecasting is crucial across various industries, including health, energy, commerce, climate, etc. Accurate forecasts over different prediction horizons are essential for both short-term and long-term planning needs across these domains. For instance, during a public health emergency such as the COVID-19 pandemic, projections of infected cases and fatalities over one to The post ProbTS: Unified benchmarking for time-series forecasting appeared first on Microsoft Research.

Author: Youshan Miao Today, deep learning has permeated our daily lives. As the size of models continues to grow, training these models on massive GPU accelerators has become increasingly time-consuming and costly. To effectively harness the power of massive GPUs and enhance efficiency, researchers have been developing various parallel strategies to improve performance across multiple The post nnScaler: Exploring a new paradigm for parallel execution in deep learning appeared first on Microsoft Research.

Author: Shujie Liu In recent years, the rapid advancement of AI has continually expanded the capabilities of Text-to-Speech (TTS) technology. Ongoing optimizations and innovations in TTS have enriched and simplified voice interaction experiences. These research developments hold significant potential across various fields, including education, entertainment, and multilingual communication, etc. Traditional TTS systems, trained with high-quality The post VALL-E 2: Enhancing the robustness and naturalness of text-to-speech models appeared first on Microsoft Research.

Author: Chang Xu Diffusion probabilistic models have the capacity to generate high-fidelity samples for generative time series forecasting. However, they also present issues of instability due to their stochastic nature. In order to tackle this challenge, researchers from Microsoft Research Asia introduce a novel approach called “MG-TSD”. The paper “MG-TSD: Multi-Granularity Time Series Diffusion Models The post MG-TSD: Advancing time series analysis with multi-granularity guided diffusion model appeared first on Microsoft Research.

Jiang Bian discusses how generative AI transforms industries by bridging gaps between AI capabilities and sector needs. He will showcase domain-specific foundation models and versatile AI agents, setting new industry standards. The post Driving Industry Evolution: Exploring the Impact of Generative AI on Sector Transformation appeared first on Microsoft Research.

“If life is a marathon, then health is the key to its duration.” Health is not only the foundation of happiness and societal progress but also a pivotal aspect of the intelligent era. AI’s integration into healthcare represents a transformative tool for maintaining and enhancing human well-being. From aiding early disease detection and progression prediction The post Guarding human health: AI empowers innovative applications in healthcare appeared first on Microsoft Research.

Deciding between fundamental and applied research is a dilemma that confronts many in the scientific community. Dongqi Han, on the cusp of graduation, ambitiously aspired to bridge this divide by pursuing both avenues of research in his future endeavors. After a comprehensive evaluation, Dongqi Han selected Microsoft Research Asia (MSR Asia) for his initial foray The post Dongqi Han: An interdisciplinary odyssey with AI and other fields appeared first on Microsoft Research.

In the Accelerator team of Microsoft Research Asia, women from diverse countries, with diverse academic backgrounds and life experiences, are weaving bridges for interdisciplinary research in their own distinctive ways. These remarkable women embrace unconventional workplace philosophies and life approaches. Their enthusiasm lies in fostering connections between the lab and a multitude of partners within The post Building a bridge of communication for cross-industry research appeared first on Microsoft Research.

“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 made ResNet a milestone in the development of computer vision technology.” Hwang’s first impression of The post Changho Hwang: Pursuing long-term research takes constant self-persuasion appeared first on Microsoft Research.