MARVEL at the TinyML EMEA Innovation Forum 2022
Elisabetta Farella and Alberto Ancilotto from the E3DA unit at FBK attended the TinyML EMEA Innovation Forum.
The tinyML EMEA Innovation Forum brings together key industry leaders, technical experts, and researchers, from Europe, the Middle East, and Africa (EMEA) region, innovating with machine learning and artificial intelligence on ultra-low-powered devices. Tiny machine learning combines innovation across a deep technological stack ranging from dataset collection and ML application design, through innovative algorithms and system-level software, down to hardware and novel sensor technology. As a cross-layer technology, achieving good results in tinyML requires carefully tuning the interaction between the various layers, and designing systems with a vertically integrated approach. In the EMEA region many startups, established companies, universities, and research labs are investing substantial time and effort in developing novel advanced solutions for tinyML. The tinyML EMEA Innovation Forum aims to connect these efforts, find strength in unity, and cooperate to accelerate tinyML innovation across the region.
Elisabetta Farella presented “Bringing face-swapping to the very edge with Phinets” on Tuesday, Oct 11 afternoon. The presentation is available online here.
Alberto was interacting with the audience in the Poster&Demo sessions all 3 days, demonstrating on a Tiny embedded platform the embedded face-swapping prototype. The technology on which the demo was presented is based on the Phinets family of neural architectures developed by FBK within the MARVEL project. The same family of neural architecture is in fact used to develop SED@Edge and other MARVEL components for microcontrollers.
Approximately 100 people attended the event while more than 25 people demonstrated their interest in the technology developed in the context of MARVEL
- Project Coordinator: Dr. Sotiris Ioannidis
- Institution: Foundation for Research and Technology Hellas (FORTH)
- E-mail: email@example.com
- Start: 01.01.2021
- Duration: 36 months
- Participating Organisations: 17
- Number of countries: 12
This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.