A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Abstract: The development of low-orbit satellite constellations has introduced significant advancements to communication and navigation systems, with time synchronization serving as a fundamental ...
Abstract: Since traditional traffic flow assignment methods are difficult to apply to real scenarios with large-scale road networks and uncertain traffic demand, this paper proposed a real-time ...