Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...
A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
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