The field of Artificial Intelligence (AI) [1] has ventured into a realm where it suggests its own interpretations and equations for videos depicting physical processes and phenomena [2, 3, 4]. This development signifies a significant advancement in AI's capability to understand and model complex real-world scenarios. It highlights the intersection of AI with concepts like Knowledge Representation and Language models, demonstrating the field's potential to redefine how we perceive and analyze physical phenomena.
Furthermore, AI is not only revolutionizing our understanding of the physical world but also transforming the way scientific research is conducted. Cloud labs and robot researchers [5] exemplify how automation is becoming integral to research processes. These technologies are enabling scientists to automate experiments and data collection, significantly accelerating the pace of scientific discovery and innovation.
AI research has extended its focus from conventional text-based analysis to encompass the multi-modal representation of the tangible world. AI's ability to propose its own interpretations of physical processes and its role in automating research through cloud labs and robot researchers showcase the ever-expanding influence of AI in reshaping scientific methodologies and our understanding of the world around us.