CORDIS Project
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NimbleAI aims to enhance Internet of Things endpoint devices by enabling them to run advanced artificial intelligence algorithms, particularly for computer vision, with minimal energy consumption and latency. By leveraging neuromorphic technology inspired by biological systems, it seeks to improve efficiency in process…
Today only very light AI processing tasks are executed in ubiquitous IoT endpoint devices, where sensor data are generated and access to energy is usually constrained.
However, this approach is not scalable and results in high penalties in terms of security, privacy, cost, energy consumption, and latency as data need to travel from endpoint devices to remote processing systems such as data centres.
Inefficiencies are especially evident in energy consumption.To keep up pace with the exponentially…
IKERLAN S. COOP
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
France, Valbonne
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Netherlands, Leiden
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Czechia, BRNO
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
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