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The Ferro4EdgeAI project aims to create an ultra-low power edge accelerator for artificial intelligence using advanced ferroelectric technology. This project seeks to significantly improve energy efficiency in AI hardware, enabling more sustainable and scalable applications.
The Ferro4EdgeAI project will provide an ultra-low power, scalable edge accelerator for artificial intelligence incorporating a memory augmented neural network, based on low cost, high density, multi-level, Back End of Line (BEoL) integrated ferroelectric (FE) technology.We expect to achieve a 2500x gain in energy-efficiency to break the POPS/W barrier with respect to the state-of-the-art CMOS accelerators and predictions for other emerging technology AI hardware.
To do so, five ambitious specif…
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Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Netherlands, Delft
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
France, Ecully
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
France, Villeurbanne Cedex
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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