Microsoft Research Lab Asia

A key challenge, and opportunity, of large language models (LLMs) is bridging the gap between their training data and the vast amount of unfamiliar information they encounter in real-world applications. Successfully navigating this divide could unlock a new era of data analysis, helping these models to uncover nuanced themes and semantic concepts across a wide The post PIKE-RAG: Enabling industrial LLM applications with domain-specific data appeared first on Microsoft Research.

Astronomy, born from humanity’s innate curiosity about the stars, has long been a catalyst for revolutionary discoveries. As AI technology advances, intelligent agents powered by large language models (LLMs) are opening up opportunities for astronomers to explore the universe more effectively and unlock its mysteries. This technological shift is shaping a discipline that, while specialized, The post Can AI unlock the mysteries of the universe? appeared first on Microsoft Research.

On the world’s vast canvas, cultures from different regions are like unique brushstrokes, each conveying distinctive perspectives and styles. At Microsoft Research Asia, women researchers from diverse backgrounds have experienced the dynamic interplay of these cultures. Driven by curiosity and a passion for exploration, they move between cultures, gaining rich insights and deepening their understanding. The post Navigating different cultures: A heart-focused journey appeared first on Microsoft Research.

The rapid development of AI has steadily advanced the field of text-to-video (T2V) generation, offering a rich and convenient video content creation experience and unlocking new possibilities in entertainment, education, and multimedia communication. Traditional T2V methods, however, are limited due to a lack of data and computational resources, making it difficult to generate long videos The post Efficiently generating long, high-quality, and dynamic videos using text prompts appeared first on Microsoft Research.

MobiCom is one of the premier international academic conferences in the field of mobile computing and wireless networks. In this article,  we select several papers from Microsoft Research Asia that were accepted at MobiCom 2024. These papers explore a diverse range of topics, including mobile task automation, remote auscultation, DNN inference, gas sensing, passive sensing, wireless The post MobiCom 2024 highlights from Microsoft Research Asia: Exploring innovations in wireless mobile technology and applications appeared first on Microsoft Research.

Welcome to the first exhibition zone, where you’ll discover Microsoft Research Asia’s groundbreaking advances in foundational AI research, covering areas like model architecture, algorithm optimization, system networks, and data processing. Together, they push the boundaries of AI’s potential and establish a robust foundation for its evolution. Booth A: Capability leap – Innovations in model architecture The post Microsoft Research Asia 2024 annual technology exhibition: An AI journey into the future appeared first on Microsoft Research.

In industry today, research and development (R&D) plays a pivotal role in boosting productivity, especially in the AI era. However, the rapid advance of AI has exposed the limitations of traditional R&D automation methods. These methods often lack the intelligence needed to address the demands of innovative research and complex development tasks, falling short of The post RD-Agent: An open-source solution for smarter R&D appeared first on Microsoft Research.

Since the Industrial Revolution, the burning of fossil fuels and changes in land use, especially deforestation, have driven the rise in atmospheric carbon dioxide (CO2). While terrestrial vegetation and oceans serve as natural carbon sinks, absorbing some of this CO2, emissions have consistently outpaced their annual capacity. This imbalance has led to a continuous rise The post Low latency carbon budget analysis reveals large decline in land carbon sink (2023) appeared first on Microsoft Research.

Although large language models (LLMs) excel in language-focused tasks like news writing, document summarization, customer service, and virtual assistants, they face challenges when it comes to  learning and inference on numeric and structured industry data, such as tabular data and time series. To address these issues, researchers from Microsoft Research Asia have proposed a new The post Towards industrial foundation models: Integrating large language models with industrial data intelligence appeared first on Microsoft Research.

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.