Audio & Speech Technology Workshop is a free full-day event at Paidia workspace in Nokia Arena, Tampere organized by AI Hub and MARVEL projects.
MARVEL represented by Greenroads, participated at the Green Deal Conference, and the Malta Waste Management Recycling & Green Sustainability Awards 2022
GRN participated at the Valletta Tech Summit presenting AI & IoT for Smarter Cities through the company’s engagement in the MARVEL Project.
MARVEL will organize a special session entitled “The challenges of the extreme-scale multi-modal analytics applications” as part of the DataWeek2022 on May 25, 2022. The session will be conducted online, and its total duration will be 1hr 30m.
Catch up with the latest updates on the MARVEL Trento Pilot Cases. A new session of recordings was organized on April 21st, 2022, in Santa Maria Maggiore square in Trento.
MARVEL consortium member, Privanova was among the presenters at the First intersessional consultation of the Ad Hoc Committee established by the UN General Assembly to elaborate a comprehensive International Convention on Countering the Use of Information and Communications Technologies for Criminal Purposes
ZELUS presented the MARVEL project at the Slide2Open Shipping Finance Conference that took place in Athens on Wednesday 2 & Thursday 3 March 2022
On February 15, 2022, the EVEREST project organised the “Design and programming high-performance, distributed reconfigurable and heterogenous platforms for extreme-scale analytics” workshop under the umbrella of the HiPEAC Winter Science Festival 2022.
Our partner, Fondazione Bruno Kessler (FBK), represented by Luca Zanella outlined FBK’s contribution to MARVEL’s progress through his presentation titled “Responsible AI at the edge: towards privacy-preserving smart cities” at the Workshop titled “AI Responsabile e Affidabile” that was held on February 10th, 2022, as part of the Ital-IA 2022, with more than 30 attendees.
Machine learning fairness is a growing field that seeks to cement the abstract principles of "fairness" in machine learning algorithms.