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HyperRec: Efficient Recommender Systems with Hyperdimensional Computing

Brain-inspired computing model. The new algorithm, called HyperRec, uses data that is modeled with binary vectors in a high dimension.

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A group of researchers are taking a different approach to AI.

The University of California at San Diego, the University of California at Irvine, San Diego State University and DGIST recently presented a paper on a new hardware algorithm based on hyperdimensional (HD) computing, which is a brain-inspired computing model. The new algorithm, called HyperRec, uses data that is modeled with binary vectors in a high dimension.

Technical paper link is here.

 



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