This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...