Autonomous robotic laboratories represent a paradigm shift in chemical synthesis, but their effectiveness hinges upon the quality and diversity of analytical data inputs and autonomous interpretations.
The distinction between automated and autonomous experiments is crucial; the latter relies on machines using AI to make decisions, as opposed to researchers making manual choices.
Collection
[
|
...
]