Autonomous mobile robots can carry out tasks in environments that are unsafe or otherwise unsuitable for humans. The robots' missions in such environments range from remote facilities inspections to searching for survivors in the collapsed buildings or caves. Our models were also deployed on a tracked robot during the DARPA Subterranean Challenge.
Our postdoc Milan Papež and his colleagues succeeded with research on incorporating graph input into sum-product networks. This method can help in AI applications that require tractable probabilistic inference, such as generating new molecules conditionally on existing ones.
Our popular university course "Introduction to Security" is now opening to the public. Hands-on, engaging and free of charge.
The jury awarded the winner for her dedication, engagement with students and overall contribution to the course "Introduction to Security".
