Members of the STAR collaboration, a group of physicists collecting and analyzing data from particle collisions at the ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Recently, a team of Estonian scientists published a study that may revolutionize how we analyze fluorescence correlation ...

By clarifying how and when multiplets arise under multiplexed conditions, we hope this work will support better study design in experiments and data interpretation." To assess how sample multiplexing ...

Outlining the trial-and-error processes that are involved in every research project could help others to become more ...

Teachers need to be scientists themselves, experimenting and measuring the impact of powerful AI products on education.

Objective To understand how health insurance coverage and employment changed among working age adults with low incomes in Georgia, the first state to implement Medicaid expansion with work ...

From predictive maintenance to excursion monitoring, AI is redefining yield management in multi-die assembly. When a ...

The real risk isn't in running robust tests; it’s in wasting money or cutting high-performing channels based on misleading ...

This paper would be of interest to researchers studying cognitive control and adaptive behavior, if the concerns raised in the reviews can be addressed satisfactorily. Understanding how task knowledge ...