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.
作者: 管理 最后更新时间: 2018/01/24 - 15:35

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.
作者: 最后更新时间: 2018/12/31 - 15:00

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...
作者: Coppock, Michael J (Intel) 最后更新时间: 2018/05/30 - 07:00

Announcing the Intel® Distribution for Python* Beta

The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.

作者: Robert C. (Intel) 最后更新时间: 2018/12/31 - 16:12

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

作者: JON J K. (Intel) 最后更新时间: 2018/05/30 - 07:00

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.

作者: Liu, Mark (Intel) 最后更新时间: 2019/07/03 - 20:07

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*
作者: Nathan Greeneltch (Intel) 最后更新时间: 2019/07/31 - 12:11

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.
作者: 管理 最后更新时间: 2019/09/03 - 10:05

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
作者: 最后更新时间: 2019/10/15 - 15:30

Vector API Developer Program for Java* Software

This article introduces Vector API to Java* developers. It shows how to start using the API in Java programs, and provides examples of vector algorithms. It provides step-by-step details on how to build the Vector API and build Java applications using it. It provides the location for downloadable binaries for Project Panama binaries.
作者: Neil V. (Intel) 最后更新时间: 2019/10/15 - 15:30