StorAIge: Embedded storage elements on next MCU generation ready for AI on the edge

StorAIge aims to develop and industrialize FDSOI 28nm and next generation embedded Phase Change Memory (ePCM) world-class semiconductor technologies enabling competitive Artificial Intelligence for Edge applications.

News & Events

Autonomous driving levels according to SAE - TURKCELL
The Autonomous Era in Construction: 5G Unleashing Smart Technologies

Seda Gavas gives a comprehensive review of Cooperative, Connected and Automated Mobility from a standardisation perspective as a result of TURKCELL’s studies within the BEYOND5 and StorAIge projects. « Turkcell and its project partners are responsible for the autonomous operation / remote control of UGVs in an open-air smart construction site laboratory, located in Türkiye which…

Photograph of the experimental setup where the fabricated binarized neural network is powered by the solar cell illuminated by the halogen lamp
Discover the latest StorAIge publication of AMU-IM2NP on memristor-based binarized neural network!

AMU-IM2NP, CEA Leti and Université Paris Saclay have collaborated to publish their results in Nature Communications on: « Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell » Fadi Jebali,Atreya Majumdar,Clément Turck, Kamel-Eddine Harabi, Mathieu-Coumba Faye,Eloi Muhr, Jean-Pierre Walder, Oleksandr Bilousov,Amadéo Michaud,Elisa Vianello , Tifenn Hirtzlin, François Andrieu,…

StorAIge at the « Walk of Fame » of the Chips JU Launch Event!

The Chips JU launch event, organised in Brussels on 30/11 and 01/12/2023 will mark the official inauguration of the Chips Joint Undertaking with the presentation of the Chips programme and the showcasing of a number of innovative projects, including StorAIge! The ‘Walk of Fame’ exhibition aims at celebrating and highlighting outstanding projects that have made a…

Embedded storage elements on next MCU generation ready for AI on the edge

By putting together key players of the AI value chain, StorAIge will help to predict and define what tasks AI will be applied to tomorrow at the edge devices with a special focus on Automotive, Industrial/Consumer and Secure applications, providing the best-in-class silicon-based solutions…


Project figures

The storAIge work plan structure follows “a value chain like” approach where the applications requirements drive the activities and developments of the overall project, i.e. for the end user and for the technologies and SoC related developments. The path is to go from first requirements, specifications and design phases up to the final products and systems qualification.




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