According to Apple, to perform multiplication of matrices in a vector processing system, partial products are obtained by dot multiplication of vector registers containing multiple copies of elements ...

Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...

Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...

“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 ...

In this lesson, you'll be introduced to the basic mathematical entities used in linear algebra. We'll also look at how these entities are created (and later manipulated) in Python using NumPy. A ...

In research and in industry, machine learning based approaches have made their way to mainstream, replacing/augmenting traditional techniques. In graphics, neural network (NN) based rendering methods ...