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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.
Authored by admin Last updated on 12/12/2018 - 18:00
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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.
Authored by admin Last updated on 12/12/2018 - 18:00
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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.
Authored by admin Last updated on 01/24/2018 - 15:35
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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.
Authored by admin Last updated on 01/24/2018 - 15:35
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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...
Authored by Coppock, Michael J (Intel) Last updated on 05/30/2018 - 07:00
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Authored by Gennady F. (Blackbelt) Last updated on 07/05/2019 - 19:03
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最大限度提升 CPU 上的 TensorFlow* 性能:推理工作负载的注意事项和建议

本文将介绍使用面向 TensorFlow 的英特尔® 优化* 进行 CPU 推理的性能注意事项
Authored by Nathan Greeneltch (Intel) Last updated on 08/09/2019 - 02:02
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利用英特尔® 数据分析加速库提高 Python* 语言中朴素贝叶斯算法的性能

This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) [2]. It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL) [3] to improve the performance of an NB algorithm.
Authored by Nguyen, Khang T (Intel) Last updated on 10/15/2019 - 16:50