For the continued advancement of this research, democratizing access to proprietary autonomous platforms, algorithms, and fostering collaboration to share expertise within academia is paramount. While significant advances have been made particularly in addressing immediate challenges, we are convinced that the full potential of machine learning and artificial intelligence is yet to be fully realized. This highlights the importance of raising cross-functional expertise both within universities and at pre-university levels, thereby nurturing a broader knowledge base. Such an approach empowers young researchers to tackle research challenges holistically right from the outset, thereby unlocking new possibilities for innovation and advancement.