Special Session on Quantum Reliability at ETS25
Prof. Paolo Rech organized a Special Session at IEEE ETS - European Test Symposium about quantum computing technology and reliability. The test community is ready to contribute to quantum computing…
Paper presentation at RADECS 2024
Bruno Loureiro Coelho has just presented his work on the reliability of hardware accelerators for Large Machine Learning Models at RADECS 2025, delivering a thrilling presentation!Thanks to all the co-authors…
Slides for the lecture at NSREC 2023
Paolo Rech will discuss the reliability of Machine Learning systems at the NSREC 2023 short course entitled “Experimental Evaluation of Artificial Neural Networks Reliability: from GPUs to low-power accelerators”. In this course,…
Paper accepted at RADECS 2023
The paper Neutrons Sensitivity of Deep Reinforcement Learning Policies on EdgeAI Accelerators is accepted at the RADiation and its Effects on Components and Systems Conference (RADECS) 2023. In this paper…
Understanding and improving the reliability of Machine Learning accelerators Keynote at DSN 2023
On June 27, in Porto, Paolo will give the Keynote "Understanding and improving the reliability of Machine Learning accelerators: from GPUs to TPUs and FPGAs” at the Dependable and Secure…
Quantum Computing Reliability tutorial at DSN 2023
On June 27, in Porto, together with Politecnico di Torino, Kent State University, and Northeastern University we organize the "Quantum Computing Reliability: Problems, Tools, and Potential Solutions” tutorial at the…
Downtown
Experimental Evaluation of Artificial Neural Networks Reliability course at NSREC 2023
On July 24th, Paolo Rech will present his lecture named Experimental Evaluation of Artificial Neural Networks Reliability: from GPUs to Low-Power Accelerators in the IEEE Nuclear and Space Radiation Effects…