AI at the edge - Challenges and opportunities for pan- European collaboration in advanced digital technologies and applications

The application of artificial intelligence (AI) at the edge brings a myriad of opportunities, including higher processing speeds to allow real-time analytics, greater scalability to work with large amounts of data, and improved cybersecurity as less data is processed externally or off-premises. But these innovations also bring significant challenges, from technological heterogeneity and processing architectures to energy efficiency. Dr Ovidiu Vermesan, Chief Scientist at SINTEF Digital and coordinator of the upcoming KDT JU project Edge AI Technologies for Optimised Performance Embedded Processing – or EdgeAI for short – outlines how the project will unlock the full potential of AI at the edge and meet these challenges and demands.