Many systems like autonomous vehicle fleets and drone swarms can be modeled as Multi-Agent Reinforcement Learning (MARL) tasks, which deal with how multiple machines can learn to collaborate, ...

Clarissa Carneiro, a meta scientist and currently the co-executive director at the Brazilian Reproducibility Network, experienced the reproducibility challenge firsthand. As an undergraduate student ...

Nearly three-quarters of biomedical researchers think there is a reproducibility crisis in science, according to a survey published in November. The leading cause cited for that crisis was “pressure ...

If an experiment is repeated under similar conditions, the results should be the same. In reality, the situation is often different—scientists speak of a "reproducibility crisis," which affects ...

Reproducibility in computational biology depends on more than clean code, and machine learning (ML) workflows introduce failure points that classical bioinformatics pipelines never had to consider.