AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for ...

Abstract: This article presents a disturbance observer (DO)-based neural network (NN) control for a two-degree-of-freedom (2-DOF) helicopter system with input saturation, external disturbances, and ...

Abstract: Boost converters enhance input-to-output voltage, two power converters: DC-DC and DC-AC. By quickly turning on and off, switch-mode power supplies (SMPS) increase efficiency and lower energy ...

New release of Anthropic’s coding model offers greater context awareness, enhanced tool usage, and extended autonomous ...

“The DeepSeek team cracked cheap long context for LLMs: a ~3.5x cheaper prefill and ~10x cheaper decode at 128k context at ...

These computers run off human neurons. Their developers believe they are the future of artificial intelligence.

微软Agent Framework的出现，就像是给AI界带来了一场"职业转型培训"。它不满足于让AI只做一个"话痨"，而是要让AI成为真正能解决问题、能协作、能自主工作的智能代理。这种转变，就像是从"会说话的玩具"进化到了"有能力的员工"。

大家已经很熟悉KG的建构和GNN模型的训练工作了。一旦训练好了GNN模型，接着进入模型的部署和运行（推理）阶段了。首先，来介绍一项热门的部署模式，就是：BYOM（Bring Your Own Model）。这BYOM（自带模型）的涵意，即是：把您自己训练好的模型，带到最接近数据、最贴近用户的地方、并展现最佳推理效能。

那么在本篇文章中将带着大家从零开始进行Demo的烧录（测试意图）、模型训练，转换成C 语言数组。然后到模型的部署，最终实现和模型一样的效果。阅读这篇文章你最好具备一些基础的Machine learning和Deep learning知识。

Industrial Production fluctuates indecisively. Production and Inventories decreased, Shipments and Inventory Ratio increased. According to the Survey of Production Forecast in Manufacturing, ...