Microsoft

Timeline

1. Oct 11, 2026 · Opinion / analysis · 1 source
   microsoft/AesCode 8B and 32B
   AesCode generates information-rich visual artifacts such as slides, posters, and dashboards as HTML/CSS.
2. Oct 8, 2026 · Opinion / analysis · 1 source
   Share GPU clusters across teams with isolation and fairness using Amazon SageMaker HyperPod
   Multiple teams within the same company increasingly need shared access to expensive GPU clusters for their generative AI operations, while maintaining isolation boundaries, resource fairness, and operational independence.
3. Oct 7, 2026 · Opinion / analysis · 1 source
   Meta and Microsoft take steps to reduce employee usage of Claude AI
4. Oct 7, 2026 · Opinion / analysis · 1 source
   Rethinking access control for RAG with Amazon Quick and Amazon Bedrock
   Enterprise organizations are adopting Retrieval Augmented Generation (RAG) to unlock insights from company knowledge sources like Microsoft SharePoint, Google Drive, and Atlassian Confluence.
5. Oct 7, 2026 · Product / feature launch · 1 source
   Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses
   Harnessed Agentic RL: Microsoft Research Asia introduces a training paradigm in which the same agent harness used in deployment participates directly in reinforcement learning, removing the need to reimplement the agent inside the training framework.
6. Oct 6, 2026 · Research paper · 1 source
   Anaximander: Interactively Running Geospatial Deep Learning Models on Any Compute Backend
   Applying deep learning models to satellite imagery from within geographic information systems (GIS) remains high-friction for remote sensing practitioners.
7. Oct 6, 2026 · Opinion / analysis · 1 source
   What AI gets wrong and what failure teaches us
   Jennifer Neville is a partner research manager at Microsoft who’s built a career around understanding and advancing AI for real-world use, and much like the human-AI interactions she’s been studying, her early-career path was multiturn: math, then physics; cognitive science, then work; and finally computer science—despite her best efforts to avoid the field.
8. Oct 6, 2026 · Research paper · 1 source
   Scalable Regularized Vector Multiplicative Error Models for Positive-valued Financial Time Series
   The logarithmic multiplicative error model (log-vMEM) has been useful in modeling and forecasting multivariate positive-valued financial time series.
9. Oct 3, 2026 · Opinion / analysis · 1 source
   The Agent Said It Was Done. The Database Disagreed.
   Figure 1: ThinkingBox runs an agent against isolated MCP tool sessions, then grades the terminal backend state and side effects it leaves behind.
10. Sep 30, 2026 · Opinion / analysis · 1 source
    Forecasting space weather risks on power grids
    End-to-end forecasting: A machine learning pipeline uses forecast-time solar-wind information to generate location-specific risk estimates for 66,935 substations in the continental United States.
11. Sep 29, 2026 · Product / feature launch · 1 source
    Introducing Quine: An AI research system designed for the complexity of biology
    Quine (opens in new tab) is a research effort to create a multimodal world model of biology and an interactive harness connecting models, scientific tools, literature, and researchers.
12. Sep 29, 2026 · Model release · 1 source
    microsoft/AesCode-32B
    microsoft published the model AesCode-32B on Hugging Face.
13. Sep 28, 2026 · Opinion / analysis · 1 source
    One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact
    On July 24, 2025, Microsoft Research Asia – Singapore (MSRA – Singapore) opened its doors as Microsoft’s first research lab in Southeast Asia.

Often appears with