Microsoft Research Blog

Research Blog

ViSNet: A general molecular geometry modeling framework for predicting molecular properties and simulating molecular dynamics

February 29, 2024 | Tong Wang, Bin Shao, and Tie-Yan Liu

Molecular geometry modeling is a powerful tool for understanding the intricate relationships between molecular structure and biological activity – a field known as structure-activity relationships (SAR). The main premise of SAR is that the biological activity of a molecule is dictated by its specific chemical…
Structured knowledge from LLMs improves prompt learning for visual language models

February 27, 2024 | Xinyang Jiang, Yubin Wang, Dongsheng Li, and Cairong Zhao

Using LLMs to create structured graphs of image descriptors can enhance the images generated by visual language models. Learn how structured knowledge can improve prompt tuning for both visual and language comprehension.
Research Focus: Week of February 19, 2024

February 21, 2024

In this issue: CaaSPER: vertical autoscaling algorithm dynamically maintains optimal CPU utilization; Improved scene landmark detection for camera localization runs faster, uses less storage; ESUS simplifies usability questionnaires for technical products and services.
GraphRAG: Unlocking LLM discovery on narrative private data

February 13, 2024 | Jonathan Larson and Steven Truitt

Editor’s note, Apr. 2, 2024 – Figure 1 was updated to clarify the origin of each source. Perhaps the greatest challenge – and opportunity – of LLMs is extending their powerful capabilities to solve problems beyond the data on which they have been trained, and…
AI Controller Interface: Generative AI with a lightweight, LLM-integrated VM

February 7, 2024 | Emre Kiciman and Michal Moskal

The emergence of large language models (LLMs) has revolutionized the way people create text and interact with computing. However, these models are limited in ensuring the accuracy of the content they generate and enforcing strict compliance with specific formats, such as JSON and other computer…
Research Focus: Week of February 5, 2024

February 7, 2024

Research Focus: New Research Forum series explores bold ideas in the era of AI; LASER improves reasoning in language models; Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets; Six Microsoft researchers named 2023 ACM Fellows.
Microsoft Research Forum: New series explores bold ideas in technology research in the era of AI

January 31, 2024

Microsoft Research Forum (opens in new tab) is a new series of conversations that explore recent advances, bold new ideas, and important discussions within the global research community. Leading Microsoft researchers will share insights into their work, followed by live online discussions with audience participants.…
Announcing recipients of the AFMR Minority Serving Institutions grant

January 30, 2024

Microsoft announces the AFMR Minority Serving Institutions grant recipients, advancing AI research focused on today’s most significant technical and societal challenges. The grant provides funding and access to Azure-hosted foundation models.
Research Focus: Week of January 22, 2024

January 24, 2024

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. Join Microsoft Research Forum (opens in new tab) for a continuous exchange of ideas about science and technology…
MetaOpt: Examining, explaining, and improving heuristic performance

January 23, 2024

MetaOpt helps analyze, explain, and improve heuristic performance before deployment in production systems. Learn how it works, particularly in traffic engineering, packet scheduling, and VM placement.
GHDDI and Microsoft Research use AI technology to achieve significant progress in discovering new drugs to treat global infectious diseases

January 16, 2024 | Tie-Yan Liu and Tao Qin

The Global Health Drug Discovery Institute and Microsoft Research are using AI to innovate in life sciences by accelerating the development of new treatments for global infectious diseases like tuberculosis and COVID. Find out how.
TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

January 11, 2024

AI-backed virtual assistants face challenges in handling complex data structures. TaskWeaver helps users build assistants that understand diverse domain questions, follow examples, and efficiently execute customizable algorithms on complex data structures.

No results