EPI Consortium members published “Small reals representations for Deep Learning at the edge: a comparison” at the 2022 edition of the Conference on Next Generation Arithmetic (CoNGA’22).

Here you can find a link to an open access version of the article: https://www.researchgate.net/publication/358884612_Small_reals_representations_for_Deep_Learning_at_the_edge_a_comparison.

DOI: https://doi.org/10.1007/978-3-031-09779-9_8.

EPI Consortium members published “A Lightweight Posit Processing Unit for RISC-V Processors in Deep Neural Network Applications” in IEEE Transactions on Emerging Topics in Computing.

Here you can find a link to an open access version of the article: https://ieeexplore.ieee.org/document/9583876.

DOI: https://doi.ieeecomputersociety.org/10.1109/TETC.2021.3120538.

EPI Consortium members published “Vectorizing posit operations on RISC-V for faster deep neural networks: experiments and comparison with ARM SVE” in Neural Computing & Applications.

Here you can find a link to an open access version of the article:

https://link.springer.com/article/10.1007/s00521-021-05814-0

DOI: https://doi.org/10.1007/s00521-021-05814-0

EPI Consortium members published “Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities” in the IEEE Signal Processing Magazine.

Here you can find a link to an open access version of the article:

https://zenodo.org/record/4564326

DOI: https://doi.org/10.1109/MSP.2020.2988436

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

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 17pages759–771(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 “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 “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

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