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课程:机器人深度学习 | 英特尔® 人工智能开发人员计划

了解在许多机器人工作负载中使用深度学习算法的基础知识。
Autor David C. (Intel) Última actualización 16/08/2019 - 15:41
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Curso: Compreensão aprofundada sobre Robótica | Programa para desenvolvedores de IA da Intel®

Aprenda os fundamentos do uso de algoritmos de aprendizado profundo em várias cargas de trabalho de robótica.
Autor David C. (Intel) Última actualización 16/08/2019 - 15:45
Article

游戏行业的人工智能设计(第一部分)

The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
Autor admin Última actualización 12/12/2018 - 18:00
Article

游戏行业的人工智能设计(第二部分)

Designing AI for Games. Intelligent agents need to identify points of interest in the game world. This article shows how to identify and optimize points of interest and provides ways of organizing them for multi-threading.
Autor admin Última actualización 12/12/2018 - 18:00
Article

设计面向游戏的人工智能(第 3 部分)

Designing AI for Games (part 3). This article discusses the concept of tactical AI and shows how to give intelligence agents higher orders of intelligence.
Autor admin Última actualización 24/01/2018 - 15:35
Article

设计面向游戏的人工智能(第 4 部分)

The gaming industry has seen great strides in game complexity recently. Game developers are challenged to create increasingly compelling games. This series explores important Artificial Intelligence (AI) concepts and how to optimize them for multi-core.
Autor admin Última actualización 24/01/2018 - 15:35
Article
Article

使用英特尔® SSSE3 指令集在本地语音识别中加速 DNN 算法

The main algorithm of speech recognition has changed to DNN (Deep Neural Network). Without internet, the speech recognition service in your mobile devices nearly useless, very few times it can listen to what you said and work.With support for the SSSE3 instruction set on Intel’s CPU, we could easy run a DNN based speech recognition application without the internet. Adding direct SSSE3 support...
Autor Última actualización 26/03/2019 - 16:08
Article

基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Autor Gennady F. (Blackbelt) Última actualización 05/07/2019 - 14:55
Article

为《Lords of New York》* 构建以个性为驱动的扑克牌 AI

Writing artificial intelligence (AI) might be the best job in games. It’s creative, challenging, and blurs the line between game design and programming. AI is used for a variety of tasks ranging from the mechanical (such as auto-attacking enemies) and bot AI, to flocking group intelligence, even to deep-thinking military generals. Games that emphasize story and character-based immersion such as...
Autor Coppock, Michael J (Intel) Última actualización 30/05/2018 - 07:00