RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene therapies to genome editing and synthetic biology. However, designing RNA ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Ohio State medical student Brent Henderson's day begins with a virtual patient powered by artificial intelligence, which is a ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal ...
Water is the most abundant liquid on Earth's surface, and it is highly anomalous compared with other liquids because it ...
Abstract: Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able ...
AutoOED is an optimal experimental design platform powered with automated machine learning to accelerate the discovery of optimal solutions. Our platform solves multi-objective optimization problems ...
Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
Abstract: In this article, we propose using new machine learning (ML)-based optimization methods as an alternative to traditional optimization methods, for complex antenna designs. This is an ...
On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...
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