近日，全球知名的人工智能与图形处理器制造商英伟达宣布成立一个新的研究部门——通用具身智能体研究（GEAR），旨在开发适用于虚拟与现实世界的全能智能体。这一举措标志着英伟达在AI领域的又一重大布局，旨在推动智能体技术的发展，以实现更加智能和多样化的应用。
GEAR部门由AI高级研究科学家Jim Fan和Yuke Zhu教授共同领导，他们将专注于四大关键领域：多模态基础模型、通用型机器人研究、虚拟世界中的基础智能体、以及模拟与合成数据技术。这些领域的研究将为智能体提供更加丰富和灵活的能力，使其能够在不同的环境和场景中展现出高度的适应性和智能。
多模态基础模型是GEAR部门的研究重点之一，旨在开发能够理解和处理多种类型数据的智能模型。这种模型将能够整合视觉、听觉、触觉等多种感官信息，从而实现更加准确的环境感知和决策能力。
通用型机器人研究则是探索如何将智能体技术应用于机器人领域，使机器人能够在多样化的环境中执行复杂的任务。这不仅包括物理世界中的机器人，也包括虚拟世界中的智能体，它们将能够在模拟环境中进行学习和训练，以提升现实世界中的性能。
虚拟世界中的基础智能体研究则关注于在虚拟环境中创建具有高度智能的智能体。这些智能体将能够在虚拟世界中自主导航、交互和执行任务，为游戏、虚拟现实（VR）、增强现实（AR）等领域提供更加丰富的用户体验。
最后，模拟与合成数据技术是GEAR部门的另一个重要研究方向。通过模拟技术，研究人员可以在安全的虚拟环境中测试和优化智能体，而合成数据技术则可以生成用于训练智能体的数据，从而提高智能体的性能和可靠性。
英伟达的这一举措预示着智能体技术将在未来的人工智能领域扮演更加重要的角色。通过GEAR部门的研究，英伟达希望能够推动智能体技术的发展，为各行各业带来更加智能和高效的解决方案。
英文标题：NVIDIA Launches GEAR Research Division for Omnipotent AI Agents
英文关键词：Omnipotent AI, Cross-modal Applications, Simulation Technology
英文新闻内容：
NVIDIA, a leading global manufacturer of artificial intelligence and graphics processing units, has announced the establishment of a new research division named Generalist Embodied Agent Research (GEAR). This initiative marks a significant step in NVIDIA’s AI strategy, aiming to advance the development of intelligent agents for a wide range of applications in both virtual and real-world environments.
The GEAR division is led by AI Senior Research Scientist Jim Fan and Professor Yuke Zhu, focusing on four key areas: multimodal foundation models, general-purpose robotics research, foundational intelligent agents in virtual worlds, and simulation and synthetic data technology. These research areas are designed to provide intelligent agents with richer and more flexible capabilities, enabling them to demonstrate high adaptability and intelligence in diverse environments and scenarios.
Multimodal foundation models are a primary research focus of the GEAR division, aiming to develop intelligent models capable of understanding and processing various types of data. These models will be able to integrate multiple sensory information such as vision, hearing, and touch, thereby enhancing the accuracy of environmental perception and decision-making.
General-purpose robotics research explores how intelligent agent technology can be applied to the field of robotics, enabling robots to perform complex tasks in a variety of environments. This includes both physical robots and virtual intelligent agents, which will be able to learn and train in simulated environments to improve their performance in the real world.
Research into foundational intelligent agents in virtual worlds focuses on creating highly intelligent agents in virtual environments. These agents will be able to autonomously navigate, interact, and perform tasks within virtual worlds, enhancing user experiences in areas such as gaming, virtual reality (VR), and augmented reality (AR).
Finally, simulation and synthetic data technology is another important research direction for the GEAR division. Through simulation technology, researchers can test and optimize intelligent agents in a safe virtual environment, while synthetic data technology can generate data for training intelligent agents, thereby improving their performance and reliability.
NVIDIA’s initiative suggests that intelligent agent technology will play an increasingly important role in the future of artificial intelligence. Through the research of the GEAR division, NVIDIA hopes to advance the development of intelligent agents, providing smarter and more efficient solutions for various industries.
【来源】https://mp.weixin.qq.com/s/-ep_nCt6moygQEm0MjOxqw
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