CORDIS Project
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This project aims to enhance artificial intelligence by developing Vector Symbolic Architectures, which are more efficient and transparent than traditional artificial neural networks. It focuses on creating low-power computing solutions that can be implemented in everyday devices.
Artificial Neural Networks (ANNs) form the main approach in Artificial Intelligence (AI).
They have two major drawbacks, however: (1) ANNs require significant computational resources; (2) they lack transparency.
These challenges restrict the widespread application of AI in daily life.
The required resources prevent the use of ANNs on resource-constrained devices and the lack of transparency limits their adoption in many areas where transparency is critical.
This action will address these challen…
RISE RESEARCH INSTITUTES OF SWEDEN AB
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LOS ANGELES UCLA SANTA BARBARA UCSB DAVIS UCD RIVERSIDE UCR SAN DIEGO UCSD SANTA CRUZ UCSC IRVIN
United States, Berkeley
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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