Game Dev with Unity* ML-Agents and Intel® Optimized Python* (Part Two)

In the final part of this two-part series on machine learning with Unity* ML-Agents, we will dig deeper into the architecture and create an ML-Agent from scratch. Before training, we will inspect the files that require parameters for machine learning to proceed. Finally, we will train the agent using Intel® optimized Python* and show how the completed system works.
作者: Manisha B. 最后更新时间: 2018/09/10 - 14:48

Intel® Multicore Enterprise VR Experience: Integrating Crowd Simulations into Mixed Reality

Developing experiences in virtual reality (VR) is a fun and exciting journey, and without the proper tools or a helping hand it can become quite daunting. To aid in this process, Intel looks to create a roadmap; a series of signposts and lessons learned in a way that helps bridge the gap into the world of VR. To illustrate many of the tools and practices required for this journey we collectively...
作者: Rick Blacker (Intel) 最后更新时间: 2018/10/02 - 13:22

Take Safety Training Back to the Roots with Virtualization

Like most other training content experts, we started our virtual reality (VR) journey through safety training for a global shipping company that we have provided training support to for over a decade. The benefits of virtual reality safety training (VRST), as opposed to instructor-led training, videos, regular e-learning courses, or serious games and simulations are far higher the way we see it....
作者: 管理 最后更新时间: 2018/08/01 - 15:59

Optimization for Unity* Software and Virtual Reality: Run-Time Generated Content

The project presented here takes advantage of some inherent VR design choices, such as non-continuous locomotion (teleport or similar), even though most of this can be adapted for regular smooth locomotion as well, with a few variations.This article show you the techniques that can help you create massive games with many elements. Imagine lush forests and extensive maps, all randomly generated...
作者: Castedo, Alejandro 最后更新时间: 2019/05/21 - 13:40

Unity* ML-Agent 和英特尔® 优化 Python* 助力游戏开发(第二部分)

借助 Unity* ML-Agent 进行机器学习系列总共包含两个部分,这是其中的最后一部分,我们将深入研究其体系结构并从头开始创建 ML-Agent。训练之前,我们将检查需要参数以便机器学习继续进行的文件。最后,我们将使用英特尔®优化 Python* 训练代理,并展示最终的系统如何运行。
作者: Manisha B. 最后更新时间: 2018/07/27 - 00:08

Develop and Port Windows* Mixed Reality UWP Applications in Unity* Software

The Microsoft* Store is open to VR apps. To gain access to this marketplace, you'll need to adhere to specific guidelines and develop using the Universal Windows* Platform (UWP), Microsoft*'s effort to create a new way to develop universal apps that run across a variety of devices. This article explores how to build UWP apps with Unity software, cover the simplest way to port VR software to UWP...
作者: Castedo, Alejandro 最后更新时间: 2018/09/10 - 14:45

使用现代 C++ 技术增强多核优化

如今,多核处理器已经在 PC 中普及,内核数量不断增长,软件工程师必须适应这种情况。通过学习如何处理潜在的性能瓶颈和并发性问题,工程师可以使他们的代码适应未来,以无缝处理添加到消费者系统的额外内核。
作者: 最后更新时间: 2018/08/02 - 00:18

Optimize User Experiences for the Commercial Location-Based VR Application

Technological advances present many opportunities to use location-based entertainment (LBE) in unique and compelling ways. This article addresses solutions for tracking, and other supporting technologies, that can greatly enhance any location-based virtual reality (VR) experience.
作者: Alex P. 最后更新时间: 2018/09/18 - 14:59

Crowd Simulation as a Flocking Behavior and Windows* Mixed Reality: Part 1

Implementing artificial intelligence with the Unity* software game engine and showing an emergent behavior as crowd simulation is one of the best ways you can create simulations. In this article, we go through the process of creating a crowd simulation in Unity software and then realizing it as a mixed reality application.
作者: Abhishek 81 最后更新时间: 2019/01/22 - 15:18