A fantastic outcome for Jiteng Ma and Liang Qiao for winning the COST CA20120 INTERACT Machine Learning Competition for both PHY and NET challenges: https://lnkd.in/ejHQv8Ks.  The competition focused on ML-based indoor localization using MIMO CSI measurements, with NET challenge addressing calibrated predictive quality of service using on-field KPI measurements. Jiteng and Liang used a large ML model based on a Transformer encoder and ResNet as well as introducing data augmentation techniques in their solution. Great outcome for our research within SWAN Prosperity Partnership.