They require researchers to carefully design workflows, make new material, and run a series of tests and analysis to understand what happened ... as active learning to make efficient use of previous ...

Generative AI Assessment: Development of specialized evaluation protocols for non-deterministic systems. Sophisticated ...

The system is described in a paper published in Nature. The researchers used CRESt to explore more than 900 chemistries and conduct 3,500 electrochemical tests, leading to the discovery of a catalyst ...

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 ...

(CE) and methionine restriction (MetR) impacts health and leads to weight loss in mice. The authors provided valuable datasets showing that the responses to MR and CE are tissue-specific, while MR and ...

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

Outlining the trial-and-error processes that are involved in every research project could help others to become more efficient and paint a more honest picture of life as a researcher.

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Claude can automate Excel dashboards, Word documents, and PowerPoint presentations, unlocking new efficiencies for your team.