Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...