Science Factory

Science factories represent a paradigm shift in scientific research, aiming to automate and scale laboratory processes through integration of robotics, AI, and high-performance computing. Current research focuses on developing modular hardware and software architectures, employing machine learning models like LSTM-CNNs and attention-based sequence-to-sequence networks for predictive maintenance and real-time control of experiments (e.g., in bioreactors and particle accelerators). This approach promises to significantly enhance efficiency, reproducibility, and throughput in various scientific domains, accelerating discovery and enabling large-scale, complex experiments previously infeasible.