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
« A study on MRAM across memory hierarchies for edge KWS adaptive power cycling »
CSEM will present their results in the framework of StorAIge at the 31st IEEE International Conference on Electronics Circuits and Systems on 18-20 November 2024 in Nancy (France). Title of the abstract A Study on MRAM Across Memory Hierarchies for Edge KWS Adaptive Power Cycling Authors Nazareno Sacchi, Erfan Azarkhish, Francesco Caruso, Regis Cattenoz, Petar…
septembre 5, 2024
StorAIge presents its use cases…
Discover the use case « AI based vision sensor fusion for precision industrial tools » developed by ATLAS COPCO in collaboration with KTH!
juin 19, 2024
IMMS at the RFID 2024 conference
IMMS will present their latest results from the StorAIge project at the 18th Annual International Conference on RFID, RFID 2024 in Boston : Charge Pump System with Controlled Input Impedance for Optimized RFID Energy Harvesting Rohit Kesharwani, André Jäger, Martin Grabmann, David Schreiber, Georg Gläser, Hani Abdullah, and Eric Schäfer Abstract Efficient energy harvesting is crucial…
juin 5, 2024
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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