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

overview of the infrared full-stack optimisation flow
Best paper award for POLITO and STMicroelectronics Italy at DATE 2024 for their work on infrared sensor with AI engine on board!

HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays Risso et al. 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), Valencia, Spain, 2024, pp. 1-6, doi: 10.23919/DATE58400.2024.10546798.   Low-resolution infrared (IR) sensors facilitate people counting for occupancy and flow monitoring while ensuring privacy and reducing energy use. Deep Neural Networks…

« 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…

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!   StorAIge use case: Low resolution time of flight matrix sensor gesture recognition – IMA

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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A team of 40 european complementary partners for high-performance

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