Elisa Tamarkin retraces her father’s work in Vietnam, and untangles the relationship of American newspaper business to the ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

AVILOO finally makes the switch to e-mobility easy, because we offer a clear answer to the most important question: How good ...

The mood in the entire Newcastle United community is morose. (This article was mostly written during the extended March ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

This valuable work identifies a subpopulation of neurons in the larval zebrafish pallium that responds differentially to varying threat levels, potentially mediating the categorization of negative ...

Computer chips that cram billions of electronic devices into a few square inches have powered the digital economy and ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...