Abstract: Machine learning models often operate in environments where training data is incomplete, noisy, or biased, such as financial risk assessments, medical diagnostics, or predictive policing, leading to unreliable and inconsistent predictions. In many cases, simply cleaning the data is not feasible, as the ground truth is…

Abstract: When Facebook/X is down for several hours, it affects our social life. Beyond interaction, the Internet matters greatly as more commerce is electronic (19 trillion per year). I will describe steps we have taken towards creating a new field, Network Design Automation (NDA). NDA seeks to create computer-aided design (CAD)…