Prof. Sergio Saponara from UNIPI was invited as a Distinguished Lecturer to the IEEE Sensors France workshop. His presentation touched upon how the race towards Autonomous and Connected cars will revolutionize the mobility of people, with a tremendous social and economic impact. EmbeddedHPC is a key enabling technology for this revolution and EPI ecosystem can be at the core of this revolution.
EPI Consortium members published “A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks” in I2020 IEEE International Conference on Smart Computing (SMARTCOMP).
Here you can find a link to an open access version of the article:
https://zenodo.org/record/4042854#.X6hQDYhKiUk
DOI: https://doi.org/10.1109/SMARTCOMP50058.2020.00053
Segio Saponara from UNIPI held a distinguished lecture at the IEEE IMS.
Our colleagues from UNIPI presented at SMARTCOMP, with a paper titled: A Novel Posit-based Fast Approximation of ELU Activation Function for Deep Neural Networks. The poster from the conference is available here.
EPI Consortium members published “Fast deep neural networks for image processing using posits and ARM scalable vector extension” in Journal of Real-Time Image Processing volume 17, pages759–771(2020).
Here you can find a link to an open access version of the article: https://link.springer.com/article/10.1007/s11554-020-00984-x.
DOI: https://doi.org/10.1007/s11554-020-00984-x
EPI Consortium members published “Cryptographically Secure Pseudo-Random Number Generator IP-Core Based on SHA2 algorithm” in the Sensors 2020, 20(7), 1869.
Here you can find a link to an open access version of the article:
https://www.mdpi.com/1424-8220/20/7/1869
DOI: https://doi.org/10.3390/s20071869
EPI Consortium members published “AFast Approximations of Activation Functions in Deep Neural Networks when using Posit Arithmetic” in the Sensors 2020, 20(05), 1515.
Here you can find a link to an open access version of the article:
https://www.mdpi.com/1424-8220/20/5/1515
DOI: https://doi.org/10.3390/s20051515
EPI Consortium members published “Crypto Accelerators for Power-Efficient and Real-Time on-Chip Implementation of Secure Algorithms” in the proceedings of the 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS).
Here you can find a link to a post-peer-review, pre-copyedit version of the article:
https://arpi.unipi.it/retrieve/handle/11568/1014943/542648/paper_ICECS_UNIPI_Provenrun.pdf.pdf
The final authenticated version is available online at: https://doi.org/10.1109/ICECS46596.2019.8964731
EPI Consortium members published “Novel Arithmetics to Accelerate Machine Learning Classifiers in Autonomous Driving Applications” in the proceedings of the 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS).
Here you can find a link to a post-peer-review, pre-copyedit version of the article: https://arpi.unipi.it/retrieve/handle/11568/1014941/563850/Paper_ICECS_Cococcioni_Rossi_Ruffaldi_Saponara_revised.pdf
The final authenticated version is available online at: https://doi.org/10.1109/ICECS46596.2019.8965031
At the IEEE BEE Week, EPI’s Sergio Sponara from UNIPI held a distinguished lecture.