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

IMU publishes a paper on Wireless Local Area Network (WLAN) positioning

Within the StorAIge project, Istanbul Medipol University researchers publish their latest results on: RSS-Based Wireless LAN Indoor Localization and Tracking Using Deep Architectures Muhammed Zahid Karakusak,Hasan Kivrak, Hasan Fehmi Ates and Mehmet Kemal Ozdemir Big Data Cogn. Comput. 2022, 6(3), 84; https://doi.org/10.3390/bdcc6030084 Abstract Wireless Local Area Network (WLAN) positioning is a challenging task indoors due to environmental constraints…

« A review on the microstructure of ferroelectric hafnium oxides » by Fraunhofer-IPMS

Fraunhofer-IPMS publishes a « Review on the Microstructure of Ferroelectric Hafnium Oxides » in Phys. Status Solidi RRL Lederer, M., Lehninger, D., Ali, T. and Kämpfe, T. Phys. Status Solidi RRL, 16: 220016 (2022) –  https://doi.org/10.1002/pssr.202200168 Abstract: Ferroelectric hafnium oxide is of major interest for a multitude of applications in microelectronics, ranging from neuromorphic devices to actuators…

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Latest paper from CEA within StorAIge on neural networks

Discover the last paper from CEA within StorAIge: A generalizable, uncertainty-aware neural network potential for GeSbTe with Monte Carlo dropout Sung-Ho Lee, Valerio Olevano, Benoit Sklénard Solid-State Electronics Volume 199, January 2023, 108508 – https://doi.org/10.1016/j.sse.2022.108508   Abstract: A Bayesian neural network potential (NNP) achieved with the Monte Carlo dropout approximation method is developed for GeSbTe…

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…

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

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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