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Article

Designing Artificial Intelligence for Games (part 3)

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 09/03/2019 - 13:00
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

Building a Personality-Driven Poker AI for Lords of New York*

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...
Criado por Coppock, Michael J (Intel) Última atualização em 30/05/2018 - 07:00
Mensagem de blog

Celebrating a Decade of Parallel Programming with Intel® Threading Building Blocks (Intel® TBB)

This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).

Criado por Sharmila C. (Intel) Última atualização em 01/08/2019 - 09:30
Article

Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*

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.
Criado por Nguyen, Khang T (Intel) Última atualização em 06/07/2019 - 16:40
Article

Introducing DNN primitives in Intel® Math Kernel Library

Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL ​2019 and will be removed in the next intel® MKL Release.

Criado por Vadim Pirogov (Intel) Última atualização em 21/03/2019 - 12:00
Article

Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
Criado por JON J K. (Intel) Última atualização em 30/05/2018 - 07:00
Article

Intel® Data Analytics Acceleration Library - Decision Trees

Decision trees method is one of most popular approaches in machine learning. They can easily be used to solve different classification and regression tasks.
Criado por Gennady F. (Blackbelt) Última atualização em 06/07/2019 - 10:58
Article

Intel® Media SDK & Intel® Media Server Studio Historical Release Notes

Release Notes of Intel® Media SDK include important information, such as system requirements, what's new, feature table and known issues since the previous release.

Criado por Liu, Mark (Intel) Última atualização em 03/07/2019 - 20:07