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

Experimental validation of the proposed material dependent SPICE model.
Latest paper from TU-Darmstadt on yttrium oxide memristor-based artificial neural networks

Simulation of the effect of material properties on yttrium oxide memristor-based artificial neural networks F. Aguirre, E. Piros, N. Kaiser, T. Vogel, S. Petzold, J. Gehrunger, T. Oster, K. Hofmann, C. Hochberger, J. Suñé, L. Alff, E. Miranda APL Machine Learning 1, 036104 (2023), https://doi.org/10.1063/5.0143926 Abstract: This paper reports a simulation study concerning the effect…

A new paper from POLITO on Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays!

Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari IEEE Internet of Things Journal, 2023, 10.1109/JIOT.2023.3263290 Abstract: Ultra-low-resolution Infrared (IR) array sensors offer a low-cost, energy-efficient, and privacy-preserving solution for people counting, with…

AI-based gesture recognition: a new prototype developed by IMA!

In the frame of the StorAIge project, IMA presents the first prototype of a highly integrated unit for the AI based gesture recognition with low-resolution Matrix Time-of-Flight sensor. The unit is taking advantage of latest generation of STMicroelectronics’s FlightSense™ sensors. It offers unobtrusive and reliable functionality with very low power consumption. Thanks to the advanced…

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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