Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage ...

Marcus Freeman and Notre Dame have been quieter than expected during opening days of the transfer portal's 15-day window for entry. Justin Casterline / Getty Images SOUTH BEND, Ind. — Notre Dame ...

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Biophotonic technologies such as Raman spectroscopy are powerful tools for obtaining ...

Alessandro Ingrosso, researcher at the Donders Institute for Neuroscience, has developed a new mathematical method in collaboration with colleagues in two Italian research institutions, which enables ...

Mingai Li, received her B.Sc. degree and M.Sc. degree from Daqing Petroleum Institute, Heilongjiang, China, in 1987 and 1990 respectively, and Ph.D. degree from Beijing University of Technology, ...

Abstract: Transfer learning has been a game-changer for natural language processing (NLP), and this technique has massively accelerated progress in the field of NLP, specifically by substantially ...

Accurate prediction of joint torque is critical for preventing injury by providing precise insights into the forces acting on joints during activities. Traditional approaches, including inverse ...