Our work "Machine Learning Detection of Majorana Zero Modes from Zero Bias Peak Measurements", led by our team members Mouyang, supported by Ryotaro and Earth, has been accepted by Matter, the leading physics journal from the Cell Press. In the past decade, there has been a surge of academic and industry interest to push toward topological quantum computing with fault tolerance. However, it has been challenging to tell if a system contains the needed topological qubits termed "Majorara zero modes," since spurious signals can mimic the genuine qubit signal. We design a machine learning framework in this work that solves this problem that distinguishes the genuine topological qubits from other sprious signals. Congratulations to Mouyang, Ryotaro and Earth for the work!