Vision
Spreading intelligence capabilities among different layers of a wearable computing system architectural stack, promoting โon-deviceโ solutions. FPGAs can accelerate the execution of the AI and ML models by mapping their timing critical cores on parallel hardware, whereas the remaining, low-priority tasks can be dynamically demanded either to a microcontroller, to a general purpose processor or to remote backends, in the light of a computing continuum.
Consortium
Formed by the University of Calabria, ICAR-CNR, and the University of Bari, the consortium has been carefully built to cohesively tackle all the peculiarities of the project!
Open-source
The source code and documentation for our project will be available for free download on open repositories.
The project pillars
COCOWEARS is a framework for engineering next-generation WCS grounded on 3 pillars: (1) sound theoretical foundations, (2) tailored Artificial Intelligence/Machine Learning, and (3) development tools.
Our team
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Raffaele Gravina
University of Calabria
Antonio Guerrieri
ICAR-CNR
Gianvito Pio
University of Bari
Claudio Savaglio
University of Calabria
Gianluca Aloi
University of Calabria
Fabio Frustaci
University of Calabria
Francesco Porreca
University of Calabria
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Contact us!
r DOT gravina AT dimes DOT unical DOT it
This project, funded by the European Union – Next Generation EU, is supported by the Italian MUR, PRIN 2022 Project โCOCOWEARSโ (A framework for COntinuum COmputing WEARable Systems), n. 2022T2XNJE, CUP: H53D23003640006.
