The advancement of artificial intelligence (AI) and the study of neurobiological processes are deeply interlinked, as a ...

this article proposes a spatial–spectral hierarchical multiscale transformer-based masked autoencoder (SSHMT-MAE) for HSI classification. First, after the spatial–spectral feature embedding with a ...

Huawei Technologies is pushing for wider support of its Ascend artificial intelligence (AI) processor-based, high-performance computing architecture – called Supernode 384 – that is touted as ...

A new academic study introduces a deep learning framework designed to detect subtle semantic differences between human- and AI-generated text. As AI-written ...

The Sydney Opera House constitutes a masterpiece of 20th century architecture. Its significance is based on its unparalleled design and construction; its exceptional engineering achievements and ...

This repository contains the implementation of an attention-based end-to-end speech-to-text deep neural network using a Transformer architecture. The project focuses on building an automatic speech ...