PlasmoniAC's 2nd GA meeting was hosted on June 30th & July 1st 2020 via teleconference. All plasmoniAC partners discussed the technical and administrative aspects, as well as the progress of the project, paving the way for the next months.
You can't miss that ! Join CLEO 2020 and get informed about progress made in the field of photonic recurrent neural networks ! https://event.crowdcompass.com/cleo20/activity/Y6XbFo4bFl
We are pleased to announce the launch of PlasmoniAC website! Our aim was to provide to the users an easy to navigate platform, that will be offering all the relevant information related to the project. Visitors can browse the information on project scope, aims and progress, as well as events and workshops in relation to PlasmoniAC. The user interface is designed to allow easy access to the information that our colleagues and partners may need. We invite you to browse the already available material, and to stop by from time to time – our content will be constantly updated with the news from the project! For any questions, suggestions, feedback or comments, please email us at This email address is being protected from spambots. You need JavaScript enabled to view it.
VPIphotonics GmbH, one of the leading photonic software design houses and a member of the PlasmoniAC consortium, shared some details on the PlasmoniAC scope and goals. Follow the link to learn more! https://www.vpiphotonics.com/News/2020/index.php#PlasmoniAC
PlasmoniAC (Energy- and Size-Efficient Ultra-Fast Plasmonic Circuits for Neuromorphic Computing Architectures) kick-off meeting was held on January 21st and 22nd, 2020, at the premises of the WinPhos research group from the Aristotle University of Thessaloniki (AUTH) in Thessaloniki, Greece. This European research project, led by AUTH, aims to develop a powerful energy-, size- and cost-efficient neuromorphic platform, blending plasmonics, photonics & nanoelectronics. Following a holistic hardware/software co-design approach, PlasmoniAC’s goal is to release a whole new class of feed-forward and recurrent artificial plasmonic neurons with up to 100 GHz clock frequencies and surpassing the current state-of-the-art energy- and size-efficiencies by 1 and 6 orders of magnitude, embracing them in custom DL training models and addressing real application needs in IT security domain. Representatives of 10 partners of the consortium gathered in Thessaloniki in a highly inspiring atmosphere and successfully launched the project’s activities.