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, ...

An ad hoc committee under the auspices of the National Research Council will plan and organize a workshop to address statistical challenges in assessing and fostering the reproducibility of scientific ...

Recognising the perceived poor levels of research reproducibility, the TIER2 project has set out to investigate reproducibility challenges across scientific domains in order to enhance trust, ...

In the race to scale sustainable proteins, startups and food manufacturers face a shared challenge: reproducibility – hindered by inconsistent data, testing protocols and equipment calibration. A ...

Championed by Amgen's Senior Vice President for Research, Sasha Kamb, and former Editor-in-Chief of Science and F1000Research International Advisory Board member Bruce Alberts (University of ...

Bioassay variability can pose significant challenges due to laboratory conditions, instrumentation, analytical software, cell culture performance and reagent sourcing. These inconsistencies can impact ...