no code implementations • 4 Apr 2024 • Dario Padovano, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
One of today's main concerns is to bring Artificial Intelligence power to embedded systems for edge applications.
no code implementations • 30 Mar 2024 • Anil Bayram Gogebakan, Enrico Magliano, Alessio Carpegna, Annachiara Ruospo, Alessandro Savino, Stefano Di Carlo
As artificial neural networks become increasingly integrated into safety-critical systems such as autonomous vehicles, devices for medical diagnosis, and industrial automation, ensuring their reliability in the face of random hardware faults becomes paramount.
no code implementations • 16 Jan 2024 • Enrico Magliano, Alessio Carpegna, Alessadro Savino, Stefano Di Carlo
The occurrence of soft errors, in turn, may lead to system faults that can propel the system into a hazardous state.
no code implementations • 2 Jan 2024 • Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
In this case, the accelerator requires 18, 268 logic cells and 51 BRAM, with an overall power consumption of 430mW and a latency of 54 us for a complete inference on input data.
no code implementations • 22 Nov 2022 • Sepide Saeedi, Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
Approximate Computing (AxC) techniques trade off the computation accuracy for performance, energy, and area reduction gains.
no code implementations • 18 Jan 2022 • Alessio Carpegna, Alessandro Savino, Stefano Di Carlo
This work presents the development of a hardware accelerator for a SNN for high-performance inference, targeting a Xilinx Artix-7 Field Programmable Gate Array (FPGA).