With VR capabilities integrated into Unity 3D*, it’s worth a look at how to update older Unity-based games for a good VR experience.
This Code Sample show you step-by-step on building a useful tool for VR devs using Unreal Engine that leverages the power of intel CPU’s. Unreal Engine has a powerful virtual reality editor option, but something they did not include is the ability to edit and place sounds while inside VR. It can be troublesome constantly having to restart the editor after adjusting a sound to test what it sounds...
The new C# job system and entity component system from Unity* don't just allow you to easily leverage previously unused CPU resources, they will also help run all your game code more efficiently in general. Then you can use those extra CPU resources to add more scene dynamism and immersion. In this article, you'll see how to quickly get started learning these new features.
With multi-core processors now common place in PCs, and core counts continually climbing, software developers must adapt. By learning to tackle potential performance bottlenecks and issues with concurrency, engineers can future-proof their code to seamlessly handle additional cores as they are added to consumer systems.
This article will show game developers how to use reinforcement learning to create better artificial intelligence (AI) behavior. Using Intel® Distribution for Python—an improved version of the popular object-oriented, high-level programming language—readers will glean how to train pre-existing machine-language (ML) agents to learn and adapt. In this scenario, we will use Intel® Optimization for...
Unity* 中的全新 C# 作业系统和实体组件系统不仅可以让您轻松利用以前未使用的 CPU 资源，还可以帮助您更高效地运行所有游戏代码。然后，您可以使用这些额外的 CPU 资源来添加更多场景动态和沉浸感。在本文中，您将了解如何快速开始学习这些新功能。
本文将向游戏开发人员介绍如何使用强化学习创建更好的人工智能 (AI) 行为。使用 Python* 的英特尔® 分发版 — 常用面向对象的高级编程语言的进阶版 — 读者可收集关于如何训练预先存在的机器语言 (ML) 代理学习和适应的信息。在此场景下，我们将使用英特尔® Optimization for TensorFlow* 在本地化环境中运行 Unity * ML-Agents。