Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Microsoft Research (MSR) is the research subsidiary of Microsoft. It was created in 1991 by Richard Rashid, Bill Gates and Nathan Myhrvold with the intent to advance state-of-the-art computing and solve difficult world problems through technological innovation in collaboration with academic, government, and industry researchers. Microsoft Research…
The analysis highlights Research, Art, Technology and Regions as prominent areas in the source structure around Microsoft Research.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Microsoft Research shows recurring relationship patterns in the source. For example, Microsoft Research → Abigail Sellen, AI, Antony Rowstron, ARD, Asia-Pacific, Bangalore, Beijing, Bengaluru, California, Cambridge, Cambridge Computer Laboratory, Christopher Bishop, City, Computation, Copenhagen, Delft University, Deputy Directors, Development Group, Donald Kossmann, Gray Systems Lab Another extracted example is Microsoft Research → Barcelona Supercomputing Center, Carnegie Mellon University, FAPESP, INRIA, Massachusetts Institute, Microsoft, Microsoft Research Centre, Since, Social NUI, São Paulo Research Foundation, Technology, Toyota Connected. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
microsoft research ai computer quantum computing lab including labs founded security new machine learning topological technologies areas social information msr
TTTA extracted 138 structured relationships around Microsoft Research. Examples in this analysis include Microsoft Research → Employees → ~500 (in 2016) and Microsoft Research → Founded → 1991; 35 years ago (1991). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Microsoft Research | Employees | ~500 (in 2016) | 1.00 | infobox |
| Microsoft Research | Founded | 1991; 35 years ago (1991) | 1.00 | infobox |
| Microsoft Research | Founders | Richard Rashid | 1.00 | infobox |
| Microsoft Research | Founders | Bill Gates | 1.00 | infobox |
| Microsoft Research | Founders | Nathan Myhrvold | 1.00 | infobox |
| Microsoft Research | Key people | Lili Cheng (corporate vice president) | 1.00 | infobox |
| Microsoft Research | Owner | Microsoft | 1.00 | infobox |
| Microsoft Research | Subsidiaries | Havok Group | 1.00 | infobox |
| Microsoft Research | Type | Division | 1.00 | infobox |
| Microsoft Research | Website | microsoft.com/research | 1.00 | infobox |
| theory | instance of | Washington campus focuses on areas | 0.80 | text |
| artificial intelligence | instance of | Washington campus focuses on areas | 0.80 | text |
The concept neighborhoods around Microsoft Research bring nearby vocabulary together. In this analysis, examples include Research, Founded and Learning. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Microsoft Research, one of the stronger structural bridges in this analysis connects Microsoft Research with Research areas. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Microsoft Research to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Research, Art, Technology & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Microsoft Research · EN edition · Analysis: TopicsToTalkAbout