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ARCES member Federico Bizzarri (DEIB Politecnico di Milano) co-authored a paper published in Nature Communications
"Continuous estimation of power system inertia using convolutional neural networks", a paper by a group of researchers of DEIB with Terna Rete Italia, was published in Nature Communications.
Award
2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) Best Paper Award to ARCES Research Fellow Alessandro Nadalini
Alessandro Nadalini has received the IEEE ISVLSI 2023 Best Paper Award for the paper: "A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks".
News
The Horizon-KDT project "R-PODID" coordinated by ARCES has been accepted for funding
The R-PODID project aims to increase energy efficiency and the reliability of power electronics systems using artificial intelligence deployed on embedded devices integrated into the power module.
News
The ISOLDE project has been approved!
ISOLDE aim is to demonstrate high performance RISC-V processing systems and platforms providing an industrial-grade open-source support for their development, verification and maintenance.
