Anthropic announced this week that its new model found security flaws in "every major operating system and web browser." Even ...
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Scientists at the Royal Botanic Gardens, Kew, World Forest ID, University of Sheffield and international collaborators have ...
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 ...
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 ...
Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...