Researchers have introduced Sparcent, a technique that uses learned sparse retrieval to accelerate the query-centroid ...
A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...
Qdrant-FineWeb-10B pairs dense and sparse embeddings of 10 billion documents from public web text with exhaustively computed nearest neighbors for 120,000 queries, enabling exact ground truth to ...
Linkup Research releases SPARSEUP, an open-source 149M-parameter sparse embedding model scoring 56.4 nDCG@10 on BEIR-13 under Apache 2.0.
“Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks and can yield ...
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