Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning  Large language models (LLMs) have shown...

The ways people engage with technology, through its design and functionality, determine its utility and acceptance in everyday use, setting the stage for widespread adoption. When computing tools and services respect the diversity of people’s experiences and abilities, technology is not only functional but also universally accessible. Human-computer...

This research paper was presented at the  41st IEEE International Conference on Robotics and Automation (opens in new tab) (ICRA 2024), the premier international forum for robotics research. Over the past decade, robotics has revolutionized numerous industries that rely on storage systems, such as manufacturing and warehousing. In these...

This research was presented as a demonstration at the 40th IEEE International Conference on Data Engineering (opens in new tab) (ICDE 2024), one of the premier conferences on data and information engineering. Since the inception of cloud computing, autoscaling has been an essential technique for optimizing resources and performance. By...

In the quest for groundbreaking materials crucial to nanoelectronics, energy storage, and healthcare, a critical challenge looms: predicting a material’s properties before it is even created. This is no small feat, with any combination of 118 elements in the periodic table, and the range of temperatures and pressures under which materials are...

This research paper was presented at the 12th International Conference on Learning Representations (opens in new tab) (ICLR 2024), the premier conference dedicated to the advancement of deep learning. Large language models (LLMs) rely on complex internal mechanisms that require more memory than what is typically available to operate on...