CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
The ALOHA project focuses on implementing deep learning algorithms on low-energy computing platforms. It aims to simplify the deployment of these algorithms for small and medium enterprises by developing tools that automate the design, analysis, and optimization of inference tasks.
Deep Learning (DL) algorithms are an extremely promising instrument in artificial intelligence, achieving very high performance in numerous recognition, identification, and classification tasks.
To foster their pervasive adoption in a vast scope of new applications and markets, a step forward is needed towards the implementation of the on-line classification task (called inference) on low-power embedded systems, enabling a shift to the edge computing paradigm.
Nevertheless, when DL is moved at t…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Italy, Cagliari
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Netherlands, Amsterdam
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Netherlands, Leiden
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Switzerland, Zuerich
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.
