.svg)
Spotlight: Discovery Lab
The Discovery Lab studies technology, infrastructure and methods to develop intelligent services for researchers, focusing on finding and interpreting scientific literature, to formulate hypotheses, and to interpret data. The lab operates at the crossroads of Knowledge Representation, Machine Learning and Natural Language Processing. They are advancing the ability to construct, use and study large-scale research knowledge graphs that integrate knowledge across heterogeneous scientific content and data. This will allow for a deeper, richer use of content and data across a larger span of domains than possible thus far, and enables them to grow the knowledge graph faster and more reliably, and provide better recommendations, more contextual question answering, more successful query construction, and the automatic generation of hypotheses. In other words: to drive scientific discovery using machine intelligence.
The lab’s philosophy is to drive scientific discovery using machine intelligence. The researchers study and develop technology, infrastructure and methods to support the current transformation of science. They focus on data-driven activity, where scientists increasingly rely on intelligent tooling for searching and reading scientific literature, to formulate hypotheses, and to interpret data.
Event details
Spotlight: Discovery Lab
17 October 2024, time TBA
Venue: Elsevier Corporate Office, Radarweg 29a, 1043 NX Amsterdam
Programme
14:30 Walk in, refreshments
15:00 Welcome:
- Intro to Discovery Lab
- Lab highlights:
- Presentation from Lab members 1, 2
- Presentation from Lab member 3
- Presentation from Lab member 4
- Presentation from Lab member 5
16:15 Break
16:30 Perspectives
- Visionary review of the future
- Hopes for the future of DL@Elsevier
- Discussion and close
17:30 Drinks & social event
18:30 Close
Registration
To attend this event, please register here. A day before the event, a Zoom link will be shared with the email you’ve used for registration in case you’d like to attend online.
Questions?
If you have any questions regarding this event, please contact events@icai.ai.
Newsletter
Stay in the loop
