Research
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
A high-performance, extensible, and low-latency remote cache-store from Microsoft Research Garnet is a research project from Microsoft Research. It is a remote cache-store designed to offer high performance, extensibility, and low latency. Garnet is thread-scalable within…
Structural Understanding Capabilities is a new benchmark for evaluating and improving LLM comprehension of structured table data. This advance can help LLMs process and analyze data more effectively, broadening their applicability in real-world tasks.
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.
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.
