Building a model capable of RSI would require automating a range of specialist tasks currently carried out by humans. At ...

Tutorials contains the code accompanying the HIP Tutorials that can be found in the HIP documentation. For a full overview over the examples see the section repository contents. Only a subset of the ...

The human faculty to generate an infinite set of structured expressions in language, present in most cultures and normal ontogeny, is the most substantial evidence of the human capacity for recursion.

Abstract: This paper introduces an innovative recursive methodology for ultra-fast load flow analysis. The approach is based on the Holomorphic Embedding Load Flow Method (HELM) and employs the Total ...

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...

Computer scientists are a demanding bunch. For them, it’s not enough to get the right answer to a problem — the goal, almost always, is to get the answer as efficiently as possible. Take the act of ...

This repository includes a pure Vitis HLS implementation of matrix-matrix multiplication (A*B=C) for Xilinx FPGAs, using Xilinx Vitis to instantiate memory and PCIe controllers and interface with the ...

Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations. Matrix multiplication is one ...

In recent years, with the continued development and popularity of sustainable energy sources and the increasing utilization of solar energy, accurate solar radiation prediction has become important.

Abstract: This paper presents factorizations of each discrete sine transform (DST) matrix of types I, II, III, and IV into a product of sparse, diagonal, bidiagonal, and scaled orthogonal matrices.

Matrix computation, as a fundamental building block of information processing in science and technology, contributes most of the computational overheads in modern signal processing and artificial ...