Qualcomm had datacenter envy back when Intel ruled the bit barns of the world, and now it has it even worse now that Nvidia has shown how AI processing ...
Try propositional chunking on your next vector search project. Your users will notice the difference in result quality immediately.
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RRAM-based analog computing system rapidly solves matrix equations with high precision
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
As we approach the anticipated artificial intelligence singularity and the strain builds, showing the fault lines in our systems, different aspects emerge and begin to converge.
Quantum mechanics has at last been formulated exclusively with real numbers, bringing a mathematical puzzle at the heart of ...
Abstract: Neuromorphic processors leverage brain-inspired spike-based sparse computation to gain energy efficiency for edge-node intelligence. Yet, achieving high-accuracy on-chip learning for in-situ ...
kernel(): 1. Compute sum of pairwise product at respective index, while within bounds. 2. Shift to the next component, by a stride of total no. of threads (4). 3. Store per-thread sum in shared cache ...
Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...
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