Project Details
Description
Finding information in a sea of data is an increasing challenge. Amsterdam Data Science (ADS) is a multi-institutional network of local higher education institutions who partner with researchers from academia, government and industry, including Elsevier, in the areas of data science and artificial intelligence. ADS specializes in deep learning, (adaptive, interactive) search engines, and semantic technologies that will help ensure that researchers get the most out of the research information that already exists. In April 2018, the ADS network and Elsevier launched an Elsevier lab at the Innovation Center for Artificial Intelligence (ICAI)
| Status | Finished |
|---|---|
| Effective start/end date | 01/1/17 → 07/1/19 |
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Automated knowledge Base Construction
de Rijke, M. & van Harmelen, F., Feb 18 2019, In: Archived.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Scopus citations -
The 11th ACM International Conference on Web Search and Data Mining
Rijke, M. & Harmelen, F., Feb 1 2017Research output: Other contribution › peer-review
Press/Media
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300 miljoen extra voor Amsterdams AI-onderzoek
Hoekstra, R. & Tsatsaronis, G.
12/12/19
1 Media contribution
Press/Media
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The biggest misconceptions about AI: the experts’ view
Rijke, M., Harmelen, F., Siebert, M., Haak, W., Groth, P., Hoekstra, R. & Tsatsaronis, G.
09/1/18
1 Media contribution
Press/Media
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Zoeken naar de vraag: wat weten we nog niet?
Rijke, M. & Haak, W.
02/1/17
1 Media contribution
Press/Media