The ability to replicate research findings remains a mainstay of the scientific process, allowing experts to assess and challenge an evolving evidence base. But a growing body of research shows that ...

Over the last decade or so, the science community has been concerned about what has been called the “reproducibility crisis”: the apparent failure of some significant experiments to produce the same ...

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 ...

The use of images in scientific papers is more popular than ever, but there have been no common standards for their publication -- until now. Images created by a plethora of high-tech instruments are ...

On February 14, a researcher who was frustrated with reproducing the results of a machine learning research paper opened up a Reddit account under the username ContributionSecure14 and posted the ...

"If researchers want to build on knowledge, they should be able to replicate results to fully comprehend the research that has been done before," says Daniel J. Stekhoven, Ph.D., director of NEXUS ...

Reproducibility and replicability are often cited as hallmarks of good science. Being able to reproduce the computational results of another researcher starting with the same data and replicate a ...