He pointed out the importance of seamless data flow across borders which is imperative to spur innovation, job creation, regional integration and cohesion. Kabogo noted that as a region ...

The prime minister stated that the new train would contribute to the aspired development process, thanking Siemens for its efforts to implement the project. He described Siemens, which has ...

and a sparse cross-attention-based graph convolutional network (SAN). From historical or future perspectives, AIM prunes multi-attribute auxiliary data into diverse time frames, and embeds them into ...

“The ARM and Synopsys technical collaboration has resulted in a widely deployable implementation flow for the Cortex-A8 processor with clear time-to-market savings,†said John Cornish, vice ...

SimilariPy provides a suite of normalization functions for sparse matrix pre-processing ... similarity models on a dataset with over 66 million interactions. Standard Python/Numpy solutions were too ...

In this work, we introduce a cross algorithm based on the Discrete Empirical Interpolation Method (DEIM) that constructs a low-rank Tucker tensor model nearly as accurate as those built by HOSVD ...

This project replicates the content of Chapter 11 on Transformers in Dive into Deep Learning. It builds an English-French machine translation model using C++. The project develops its own automatic ...

Department of Statistics, Franklin College of Arts and Sciences, University of Georgia, Athens, Georgia 30602, United States ...