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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 we investigate how radiation can corrupt robots movements and make them fall despite the intrinsic feedback of controls.
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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 Machine Learning workshop at the International Conference on Dependable Systems and Networks 2023.
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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 International Conference on Dependable Systems and Networks 2023. The talk wil be held in the Presidente room from 14:00 to 18:30. Quantum computing is a…
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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 Conference.
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HiCrest Christmas Event 2022
We held an informal dinner together with all the research group members yesterday and it has been very enlightnening and relaxed. Looking forward for more moments like these!
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Best Paper Award at #SC22
A great milestone pushing forward the prestige of the HiCrest group!
