As a cross-DIH inter-regional experiment, RAY-DEEP could be an example of best practices within the EDIH network.
The project, which will receive a grant of 93937 € from the DIH4AI Network, aims to develop, test and validate a pilot system using Deep Learning for the detection of cosmic rays in real time, with neuromorphic technology. Their results may have a several impact on the industry by supporting the aerial systems, autonomous vehicles and crew members from the non‐visible conditions to which they are exposed.
RAY-DEEP will be mainly executed in Castilla y León (Spain), with the technical support of the Digital Innovation Hub Industry 4.0 (DIHBU) and the Irish National Centre for Applied Artificial Intelligence (CeADAR). Both entities are non-profit and will collaborate in the industrial promotion of the results.
ADA-AI Solutions, integrated in WOLARIA Accelerator Program (ICE, Castilla y Leon Regional Government) will execute the project under the direction of its CEO Antonio Gonzalez, professor at IE Business School. The startup will subscribe, within the framework of this project, a technical collaboration of the R&D department of the ITCL Technology Center, led by PhD Javier Sedano, with great experience in neuromorphic technology.
In fact, the RAY‐DEEP project will validate an inspection & observation system for the ionizing particles that the earth receives, with real-time autonomous operation, based on neuromorphic engineering processing. The algorithms will be directly implemented in the System of the Chip (SoC) in its Field Programmable Gate Arrays (FPGA), with Deep Learning Convolutional Neural Networks, and will allow a high analysis response in ranges less than 50 ms.