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,…
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…
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…
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…
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…
