CAPABLE – new Horizon 2020 project
The CAPABLE (CAncer PAtients Better Life Experience) project co-authored by dr Szymon Wilk recieved funding within Horizon 2020 framework. The project aim is to provide help for cancer patients, that …
The CAPABLE (CAncer PAtients Better Life Experience) project co-authored by dr Szymon Wilk recieved funding within Horizon 2020 framework. The project aim is to provide help for cancer patients, that …
Our (CAMIL + PUT + PCSS) presentation and project ideas from brokerage day for H2020 call on EU Network of Artificial Intelligence Excellence Centres https://ec.europa.eu/digital-single-market/events/cf/h2020-call-on-european-network-of-ai-excellence-centres-infoday/document.cfm?doc_id=39718&rename=
We are thrilled to announce that first bachelor degree studies in Poland on Artificial Intelligence (taught in English) will start on October 2019 at Poznań University of Technology. The recruitment …
Krzysztof Krawiec has become a member of one of Advisory Groups of CLAIRE. Congratulations!
Together with Poznań Supercomputing and Networking Center and HPC4Poland Digital Innovation Hub CAMIL joins now the AI Digital Innovation Hubs Network
CAMIL members organized the DA2PL (From Multiple Criteria Decision Aid to Preference Learning) conference at Poznan University of Technology. The conference aims at bringing together researchers from decision analysis and …
Krzysztof Krawiec and Mikołaj Morzy were invited to and took part in the Workshop on Artificial Intelligence in St. Anne’s College, Oxford (19-21 November 2018), co-organized by the Ministry of …
A paper on extreme classification by Marek Wydmuch, Kalina Jasinska, Michail Kuznetsov, Robert Busa-Fekete, and Krzysztof Dembczyński has been accepted for NIPS 2018. The arxiv version of the paper can …
We are proud to announce that Poznan University of Technology will host the First Polish Meeting on Research in Artificial Intelligence (PP-RAI). The meeting will take place 18-19 October 2018 …
We have recently published a manuscript entitled “Automatic Recognition of Ligands in Electron Density by Machine Learning” showing that automatic identification of small-molecule ligands in macromolecular complexes by machine learning …