This conference, dedicated to facilitating collaboration and knowledge transfer between industry and academia, marked a milestone in the convergence between research and practical application in the field of trustworthy AI.
On April 11th, 2024, the Horizon Europe dAIEDGE Network of Excellence (NoE) project organised a "Workshop on Edge AI functional and non-functional requirements", which took place in Dresden, Germany.
From 4 to 5 April, dAIEDGE was honoured to co-host the LWM Hackathon: Enhancing Research Productivity in collaboration with Humane AI Net, Enfield, Societal Communication in Times of Permacrisis (SCOPE), Start 2 Group and Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI).
This short course on Cloud/Edge Computing for Deep Learning and Big Data Analytics provided a comprehensive overview and detailed presentation of advanced technologies utilized in distributed computational systems.
The dAIEDGE project has held its second general assembly. Partners gathered on March 7th and 8th at the Incubator Hall of Sofia Tech Park in Sofia, Bulgaria, for a session organized by the Institute for Computer Science, Artificial Intelligence, and Technology (INSAIT).
The dAIEDGE team had the privilege of participating in the ADRA launch event, a momentous happening that opened the doors to the future of innovation in artificial intelligence (AI), data analytics and robotics.
AI technologies at the edge are advancing significantly across diverse sectors as industries discover new ways of harnessing their potential to optimise workflows
ADRF 2023 is ADRA's flagship annual event, in collaboration with the European Commission. This year's edition brought together experts, innovators, policymakers, and enthusiasts from the AI, Data, and Robotics community.
Developed by EPoSS and the Inside AI at the Edge working group, and organised by the European Edge AI project, the European Conference on EDGE AI Technologies and Applications - EEAI aimed to provide a European forum for sharing the latest results from scientific research and industry using edge AI technologies and applications.
