Pharmaceutical and biotech companies are making huge investments in lab automation technologies, but what’s the ROI?

The Swinburne study introduces an efficient validation technique for quantum computations, crucial for ensuring accuracy in ...

Commonly used models often excel on benchmark datasets but do not generalize across regions or varying wildfire conditions.

Researchers, funders, and industry experts in 2D materials call for science to reward reliability over speed, proposing ...

For an AI scientist to claim its own discovery, the research would need to be performed “fully or highly autonomously”, ...

The AI in lab automation market is driven by the expanding healthcare applications and growing innovations, report Towards ...

Chlorinated organic pollutants (COPs), widely used in industry and agriculture, persist in soil and groundwater for decades ...

Simcenter Testlab, already used with composites, now uses intelligent test automation and AI assistance to execute physical ...

Artificial intelligence models are starting to succeed in science. The pace of progress has some researchers convinced that ...

Cancer treatments don't always work as expected, leaving patients to suffer side effects of chemotherapy without gaining ...

Keen to make farm inspections easier and less labour intensive, researchers have developed an autonomous robot called Poultry ...

PagePeek introduces an AI-driven framework for paper evaluation and paper quality assessment, advancing transparency, reproducibility, and interdisciplinary rigor in materials science research.