ELLIS unit promotes excellence at home to facilitate high-quality collaboration
The ELLIS unit in Amsterdam is a local branch of the ELLIS Society, a diverse European network that promotes research excellence and advances breakthroughs in AI. With a focus on machine learning and machine intelligence within AI, the unit’s primary focus is promoting excellence at home and connecting local community members to relevant research and funding opportunities. This lays the foundation for the unit to facilitate high-quality international exchange, collaboration, and mutual development.
The unit offers a wide range of funding programmes benefiting different communities within the local AI ecosystem. Among others, the unit’s honours programme provides a unique opportunity for master’s students to develop a thesis project with international collaboration as its core component, while the ELLIS workshop programme extends financial assistance to workshops organised in Amsterdam initiated by ELLIS faculty.
Beyond acting as the local touchpoint for the ELLIS Society, the unit brings together top talent from local stakeholders. The Amsterdam community has significantly grown since it was initiated in 2019, with precisely 100 members working on different themes within the AI landscape.
Deep Learning Extravaganza
The ELLIS unit Amsterdam builds on the city’s strengths by actively engaging with Amsterdam’s AI ecosystem and connecting local actors to empower innovation in fundamental basic research. The unit proactively supports local AI intiatives, and organises events in Amsterdam.
The Deep Learning Extravaganza which was held on June 8th 2023 showcased the local research excellence and connected researchers working on different themes. The event comprises two parts; a keynote presentation by Jakub M. Tomczak, an Associate Professor at Eindhoven University of Technology, and a preview session of 26 curated papers written by local authors and published at top tier conferences in 2023, including the CVPR, the ICLR, the ICML, and the SIGIR.