In an era increasingly steered by data, machine learning is a pivotal force, transforming vast amounts of information into actionable intelligence with unprecedented speed and accuracy. For example, recent advances in machine learning have led to breakthroughs in precision health, helping doctors make more informed decisions about patient care. Similarly, in climate science, machine learning is improving scientists’ ability to predict and mitigate the impact of extreme weather events. These innovations illustrate that machine learning not only streamlines workflows, it […]

MITRA: So the post-training phase is very important for language models. You can really improve the model a lot by creating high-quality synthetic data. The problem is, however, though, high-quality synthetic data creation requires lots of human effort and expertise. The problem that we’re trying to tackle is, how do you reduce human effort? How can you create high-quality data with really low amount of human effort? When you have a language model and, let’s say, you want to apply […]

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 MG-TSD: Advancing time series analysis with multi-granularity guided diffusion model 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 a recent article: MG-TSD: Advancing time series analysis with multi-granularity