AIFORS

ERA Chair in Artificial Intelligence for Robotics

 

 

AIFORS is a Horizon 2020 ERA Chair project which aims to create an ERA Chair in Artificial Intelligence for Robotics at the University of Zagreb Faculty of Electrical Engineering and Computing (UNIZG-FER). It will enable UNIZG-FER to attract an outstanding researcher and five team members to independently implement an ambitious research strategy in AI for robotics. This will open UNIZG-FER to a new research direction with a high potential for research outputs and technology innovation. The ERA Chair holder will establish and lead a Research Group for Artificial Intelligence for Robotics assigned to the Laboratory for Autonomous Systems and Mobile Robotics (LAMOR).


2nd ML4NGP Training School

AIFORS' PhD students Vladimir and Athanasios participated in the COST Action: CA21160 - Non-globular proteins in the era of Machine Learning, 2nd ML4NGP Training School, which took place from 13-16 February 2024, at the University Pablo de Olavide, Carmona, Spain.

The school provided a dynamic and immersive learning experience of computational tools for proteins with theoretical lessons in the morning followed by hands-on practical sessions in the afternoon. It was led by 12 world-leading researchers providing comprehensive insight into recent advancements in computational resources, along with hands-on training for the study of non-globular proteins. 

The learning outcomes included tandem repeat proteins, intrinsically disordered proteins, aggregation and low complexity regions, computational tools to predict protein aggregation and phase separation, different databases and data mining tools, low complexity and compositional bias in protein sequences. Apart from the technical activities, the school provided participants with networking opportunities as well as gave participants a chance to connect informally after the scientific program.

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SOCIAL MEDIA

 


PROJECTS


Funding

 

This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Grant Agreement No. 952275