Custom accelerators for neural network training have garnered plenty of attention in the last couple of years, but without significant software footwork, many are still difficult to program and could ...
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 ...
Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...
CORALVILLE, Iowa (March 27, 2024)—Global genomics solutions provider Integrated DNA Technologies (IDT) is expanding its gene synthesis offerings with a new custom vector onboarding tool. The ...
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