Computer Sciences

The age of exascale and the future of supercomputing

Argonne looks to exascale and beyond, sorting out the relationship between computing and experimental facilities, the need for speed and AI's role in making it all work.


Patent on sustainable energy

If we want to reach the climate goals set for 2030 and 2050, we are going to have to do our utmost to continue developing sustainable energy technologies. In order to make appropriate government policy, it is important whether ...

Machine learning & AI

A standard for artificial intelligence in biomedicine

An international research team with participants from several universities including the FAU has proposed a standardized registry for artificial intelligence (AI) work in biomedicine to improve the reproducibility of results ...

Computer Sciences

Using machine learning to predict high-impact research

An artificial intelligence framework built by MIT researchers can give an "early-alert" signal for future high-impact technologies, by learning from patterns gleaned from previous scientific publications.

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