Computers in the cloud and elsewhere generate (more frequently than we ever expected) wrong results of which we are not aware (silent errors or silent data corruptions - SDCs). The computing industry and research community actively measure the severity of the problem and develop clever solutions to prevent silent errors from breaking computing! So keep trusting computing systems, the best minds make them robust! Dimitris Gizopoulos is Professor at the (National and Kapodistrian) University of Athens where he leads the Computer Architecture Laboratory of the Department of Informatics and Telecommunications. His research focuses on the complex interactions among the computing performance, the energy efficiency, and the correct operation of modern computing systems at different application domains across the performance spectrum. His team works, among other topics, on the analysis of silicon defects in modern CPUs, GPUs, and AI accelerators hardware chips (manufacturing, design, and environment aspects that impact their operation) and their effects on the correctness of the computing systems running everyone’s software workloads. The work is part of a global industry-academia effort led by Meta, Google, AMD, Intel, Nvidia, Arm, Microsoft towards improving the quality of the services of modern machines on which our live relies.Dimitris is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for his contributions to microprocessors reliable operation, a Distinguished Member of the Association for Computing Machinery (ACM), and a Golden Core Member of the IEEE Computer Society. His research publications with students and collaborators have been nominated and awarded important recognitions at scientific conferences and journals in the field of computer architecture, hardware design and systems dependability. He has served as General Chair and Program Chair of several top tier IEEE and ACM international conferences and on the Editorial Boards of prestigious IEEE and ACM archival publications. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx