In the intricate world of building complex systems like Hyper-AI, the foundation is everything. We spoke with Dr. Vassilis Papataxiarhis, a researcher at the National and Kapodistrian University of Athens (NKUA), about his leadership of Work Package 4, which is laying the technological groundwork for Hyper-AI.
"Work Package 4 is dealing with the key enabling technologies," Papataxiarhis explains. "Hyper-AI is a multi-cloud environment, so we'll set up the basic technologies that will be used to tackle some major challenges."
One of the most significant challenges Papataxiarhis and his team are addressing is the heterogeneity of devices and infrastructures that need to be integrated into a single, cohesive system. "We're going to use virtualised implementation and semantic web technologies like OWL (Ontology Web Language) and RDF (Resource Description Framework) to develop the models for both the infrastructure and the applications that will run on top of Hyper-AI," he says.
By using these advanced technologies, Work Package 4 is essentially creating a common language that allows different devices, systems, and applications to communicate and work together seamlessly within the Hyper-AI environment. This is crucial for ensuring that Hyper-AI can effectively process and analyse data from diverse sources, no matter where or how that data is generated.
To keep up to date and for more information on HYPER-AI, follow the project on LinkedIn, Twitter, and YouTube.
