Which machine learning application has most significantly improved the accuracy of mass spectrometry in identifying novel compounds?

Modern scientific laboratories are increasingly using machine learning algorithms to automate and enhance their processes. From predictive maintenance of sensitive instruments to pattern recognition in complex datasets, machine learning is revolutionizing scientific research. This poll tests your knowledge of how AI and machine learning are being implemented in today's scientific equipment and research processes.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Convolutional neural networks that identify spectral patterns too subtle for human analysts to detect
Random forest algorithms that predict equipment calibration drift
Reinforcement learning systems that optimize sample preparation protocols
Natural language processing to automatically generate research papers from raw data