Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

Image courtesy by QUE.com In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized ...

Deep neural networks have a huge advantage: They replace “feature engineering”—a difficult and arduous part of the classic machine learning cycle—with an end-to-end process that automatically learns ...

Neural architecture search promises to speed up the process of finding neural network architectures that will yield good models for a given dataset. Neural architecture search is the task of ...

IT之家 11 月 10 日消息，据华为麒麟官方公众号今日分享，基于华为 CANN（Compute Architecture for Neural Networks）端云协同架构打造的 华为 PC 端 AI 闪绘功能近日正式落地 ，标志着端侧 AI ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

华为麒麟官方近日宣布，基于 CANN （Compute Architecture for Neural Networks）端云协同架构打造的 PC 端 AI闪绘 功能正式落地，标志着端侧 AI大模型 应用进入新阶段。 这一进展不仅是华为在端侧 AI 布局上的重要一步，也为整个 AI 产业带来了新的思考。

A new technical paper titled “Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration” was published by imec, TU Delft and University of ...