Abstract: Multimodal learning has been introduced as a popular learning paradigm that can integrate inputs from multimodal video data. To accelerate video analytics at the edge, video frames are ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...
In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — ...
Artificial Intelligence (AI) and Machine Learning (ML) in pediatrics represent a burgeoning field within healthcare, driven ...
Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...
Researchers from the University of South China and Purdue University have developed ultra-high strength, high-ductility steel ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results