Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...
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Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer
A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph ...
Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
Abstract: Downlink precoding in massive multiple input multiple output (MIMO) systems involves high-dimensional sparse matrix calculations, which poses challenges to existing architectures.
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