unity ai_Unity与DeepMind合作推进AI研究

unity ai

Today we are announcing our collaboration with DeepMind, a world leader in artificial intelligence research. The partnership will enable DeepMind to develop virtual environments and tasks in support of their fundamental AI research program.

今天，我们宣布与人工智能研究的全球领导者DeepMind合作。 此次合作将使DeepMind能够开发虚拟环境和任务，以支持其基础AI研究计划。

DeepMind researchers are addressing huge AI problems, and they have selected Unity as a primary research platform for creating complex virtual environments that will enable the development of algorithms capable of learning to solve complex tasks. We believe the future of AI is being shaped by increasingly sophisticated human-machine interactions, and Unity is proud to be the engine that is enabling these interactions.

DeepMind研究人员正在解决巨大的AI问题，他们选择Unity作为创建复杂虚拟环境的主要研究平台，这将使能够开发能够学习解决复杂任务的算法。 我们相信AI的未来将由日益复杂的人机交互所塑造，Unity自豪地成为实现这些交互的引擎。

Unity is no stranger to forging thought-leadership in the AI field. A year ago, we introduced and open sourced the ML-Agents Toolkit to enable machine learning researchers to study complex behaviors using Unity and provide game developers with the latest machine learning technologies. In combination with the ML-Agents toolkit, Unity is quickly becoming the platform of choice for the development of intelligent agents. In a reference paper published last week,  we detailed how to use the Unity platform to create and leverage simulation environments that are rich in sensory and physical complexity, provide compelling cognitive challenges, and support dynamic multi-agent interaction. These environments provide the foundation to accelerate AI research in areas such as computer vision, robotics, natural language instruction, autonomous vehicle development, and many other areas of science and technology. This is just the beginning with much more to come.

Unity在AI领域中建立思想领导力并不陌生。 一年前，我们引入并开放了ML-Agents工具包，以使机器学习研究人员能够使用Unity研究复杂的行为，并为游戏开发人员提供最新的机器学习技术。 结合ML-Agents工具包 ，UnitySwift成为开发智能代理的首选平台。 在上周发布的参考文件中 ，我们详细介绍了如何使用Unity平台创建和利用具有丰富的感官和物理复杂性，提供引人注目的认知挑战并支持动态多主体交互的仿真环境。 这些环境为加速AI研究的基础提供了基础，例如计算机视觉，机器人技术，自然语言教学，自动驾驶汽车开发以及许多其他科学技术领域。 这仅仅是更多的开始。

Related links:

相关链接：

• Join Unity Machine Learning

  加入Unity机器学习

• Learn more about Unity Machine Learning

  了解有关Unity机器学习的更多信息

• Download ML-Agents Toolkit

  下载ML-Agents工具包

• Contact us at [email protected]

  通过[email protected]与我们联系

翻译自: https://blogs.unity3d.com/2018/09/26/unity-and-deepmind-partner-to-advance-ai-research/

unity ai