Authored by certified embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML ...

Analog Devices has launched CodeFusion Studio 2.0, upgrading its open-source embedded development platform with comprehensive ...

By Stephen Kwame ODUROThe general definition for Artificial Intelligence (AI) is “the ability of machines to perform tasks that typically require human intelligence, such as learning, reasoning, and ...

For the right project, they can easily outperform a Raspberry Pi and deliver capabilities that the Pi still can’t match. In ...

The latest version of iOS includes a bunch of customisation options for the iPhone, including the ability to tone down the transparent ‘liquid glass’ effect, as well as more language features and new ...

在人工智能与边缘计算深度融合的今天，将AI模型高效部署于终端设备已成为产业智能化的关键。本文将分享基于米尔MYD-LR3576边缘计算盒子部署菜品识别安卓Demo的实战经验。该设备凭借其内置的强劲瑞芯微RK3576芯片，为视觉识别模型提供了充沛的本地AI算力，成功将“智慧识菜”的能力浓缩于方寸之间，充分证明了其作为边缘AI应用坚实载体的卓越性能与可靠性。

文｜博阳编辑｜可君 在 2024 年和 2025 年的中国 AI 牌桌上，线性注意力（Linear Attention）是一个绕不开的词。 阿里、Minimax，以及几乎所有试图在万亿参数游戏中下注的玩家，都面临一个残酷的现实：算力的瓶颈。传统全注意力的复杂度，在算力受限的情况下就是自杀式消耗。序列长度翻倍，计算量和显存需求翻四倍。