Ultra-low-power, secure processors for edge computing (RIA) Develop European specialised processors, architectures and computational engines that have the potential to substantially improve energy efficiency (i.e. performance per watt) for the targeted edge application. Examples of targeted applications (non-exhaustive list) are automated driving, artificial intelligence, machine learning, computer vision, machine translation, speech recognition, sensor fusion, signal processing, etc.New specialised processor designs may incorporate approaches such as neuromorphic, in-memory computing, probabilistic computing, neural networks, programmable logic, hardware-software co-design as well as open-source hardware and processor IP.Proposals should have a longer-term perspective taking into account the reduced performance improvements of general-purpose computing, the slow-down of Moore’s law and the changing economics of semiconductor manufacturing.Proposals should include research on advanced hardware-based security at silicon-level. Proposals should take into account certification guidelines for secure and safety-critical applications where relevant. Proposals should include a preliminary analysis of bringing successfully to the market the proposed research either as IP blocks or as standalone chips. Proposals may include early chip prototyping in well-justified cases.In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.