Thrust 3: Operational Robustness

MADLab researchers are designing robust ML algorithms to perform predictably even in the presence of corrupted or incomplete data. Common corruptions include noise, quantization effects, blur, indirect observations, missing data (perhaps due to sensor failures), and changing environmental conditions. Operationally robust machine learning systems will also provide easily understood explanations of ML reasoning and decisions-making to human partners.
Thrust 3