Standardization

Artificial Intelligence (AI) has a significant impact on the reproducibility of scientific experiments and studies in several ways, both positive and negative. Here are the key aspects of this impact:

Positive Impacts

Automated Data Collection and Analysis:

• AI can automate data collection and analysis, reducing human error and ensuring consistency. This increases the likelihood that experiments can be replicated with similar results.

Standardization of Methods:

The rise of low-code and no-code platforms has been a significant trend in software development, democratizing the creation of applications and systems by enabling individuals with varying levels of technical expertise to build software solutions without extensive coding knowledge.

 Here's an investigation into their rise and impact:

Rise of Low-Code/No-Code Platforms: