Web and AI Sciences

2025年1月31日

In this issue: A new approach to multimodal pretraining for remote sensing; Managed-retention memory for the AI era; Improving detection of macular telangiectasia type 2; Generalizing symbolic automata.

2025年1月17日

In this edition: Privacy enhancements for multiparty deep learning; using smaller, open-source models to provide relevance judgments; new tool uses AI, data to automate innovation and development; Yasuyuki Matsushita named IEEE 2025 Computer Society Fellow.

2024年9月25日

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. Time-series forecasting is a technique used to predict future values based on previously…

2024年7月17日

Advancing time series analysis with multi-granularity guided diffusion model; An algorithm-system co-design for fast, scalable MoE inference; What makes a search metric successful in large-scale settings; learning to solve PDEs without simulated data.

2018年7月9日 | Bhaskar Mitra

Traditionally, machine learning based approaches to information retrieval have taken the form of supervised learning-to-rank models. Recent advances in other machine learning approaches—such as adversarial learning and reinforcement learning—should find interesting new applications in future retrieval systems. At Microsoft AI…