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Article

Multi-threading Line-of-Sight Calculations to Improve Sensory System Performance in Game AI

In this article, Alex Champandard describes how to accelerate Multi-threading Line-of-Sight calculations to improve AI sensory system performance through the concept of a centralized sensory system using a mini-game prototype AI Sandbox.
Criado por administrar Última atualização em 24/01/2018 - 15:35
Article

The Secrets of Parallel Pathfinding on Modern Computer Hardware

One of the first things that game AI developers parallelize is pathfinding as it is an expensive operation. The most common approach is to fire off the pathfinder in a separate thread. This article examines a multi-threaded pathfinding implementation.
Criado por Última atualização em 31/12/2018 - 15:00
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.
Criado por administrar Última atualização em 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.
Criado por administrar Última atualização em 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.
Criado por administrar Última atualização em 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.
Criado por administrar Última atualização em 24/01/2018 - 15:35
Article

OpenCL 2.0 中的 GPU-Quicksort: 嵌套并行性和工作组扫描函数

简介
Criado por Robert I. (Intel) Última atualização em 31/05/2019 - 14:20
Article

Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Criado por Andres Rodriguez (Intel) Última atualização em 11/03/2019 - 13:17
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Criado por Sunny G. (Intel) Última atualização em 08/05/2018 - 10:50
Vídeo

Remove Python* Performance Barriers for Machine Learning

Online content and service providers like Netflix and Amazon have popularized the use of recommendation platforms/engines, that predict a user’s preferences based on historical ratings, collective

Criado por administrar Última atualização em 13/02/2018 - 09:24