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Siemens Makes Factory Floors Smarter With Industrial AI
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英伟达与西门子合作,利用AI、仿真和数字孪生技术,推动制造业实现生产力、灵活性和洞察力的新突破。文章重点介绍了西门子如何利用工业AI应对劳动力短缺、技能差距等挑战。通过Inspekto等AI驱动的视觉质量检测系统,即使小型制造商也能实现生产线的自动化缺陷检测。奥迪在车身车间应用工业AI,实现了高达25倍的推理速度提升。西门子还开发了AI驱动的视觉软件和工业Copilots,旨在为车间操作员和技术人员提供生成式AI辅助,以实现快速故障排除和流程优化。

🏭 英伟达与西门子合作,推动工业AI在制造业的应用。双方合作旨在利用AI、仿真和数字孪生技术,提升生产力、灵活性和洞察力。

🔍 制造业面临劳动力短缺和技能差距等挑战,AI技术成为应对方案。AI可以自动化 ранее被认为过于复杂或多变的生产任务。

👁️‍🗨️ Inspekto等AI驱动的视觉质量检测系统,赋能小型制造商。该系统可在短时间内完成训练,实现生产线上的自动化缺陷检测。

🚗 奥迪应用西门子的工业AI套件,提升效率。在车身车间实现了高达25倍的推理速度提升,加速了缺陷处理。

🤖 西门子开发AI驱动的视觉软件和工业Copilots。前者使机器人能够处理任意物体,后者为车间操作员提供生成式AI辅助,实现快速故障排除和流程优化。

Industrial AI is transforming how factories operate, innovate and scale.

The convergence of AI, simulation and digital twins is poised to unlock new levels of productivity, flexibility and insight for manufacturers worldwide — and NVIDIA’s collaboration with Siemens is bringing these technologies directly to factory and shop floors, making advanced automation more accessible.

Matthias Loskyll, head of virtual control and industrial AI at Siemens Factory Automation, joined the NVIDIA AI Podcast to discuss how Siemens’ work with NVIDIA is reshaping manufacturing, as the industry hits a turning point.

Manufacturing companies are facing a shortage of skilled labor, widening skills gaps as experts retire and increased demand for resilient, efficient production.

At the same time, AI advancements offer ways to automate tasks previously deemed too complex or variable for traditional programming — and digital twins open a path to designing and optimizing safe, efficient interactions between AI-powered robots and smart spaces.

Siemens’ Inspekto, an AI-driven visual quality inspection system, enables even small manufacturers to automate defect detection in their production lines. Inspekto can be trained in under an hour using as few as 20 product samples, making it ideal for fields like electronics and metal forming.

Meanwhile, automaker Audi is using industrial AI in its car body shops, where 5 million welds are made daily. Training AI models to automate weld-spot inspection and integrating them with Siemens’ Industrial AI Suite helped Audi achieve up to 25x faster inference directly on the shop floor, where the defects can be addressed.

Siemens is creating an AI-driven vision software enabling robots to handle arbitrary, previously unseen objects. The company is also developing Industrial Copilots with NVIDIA NIM microservices to bring generative AI-powered assistance directly to shopfloor operators and service technicians. Loskyll noted that the Industrial Copilots will run on premises to keep sensitive production data secure while enabling rapid troubleshooting and process optimization.

To learn more about the latest in industrial AI, watch the COMPUTEX keynote by NVIDIA founder and CEO Jensen Huang. Hear more from Siemens at NVIDIA GTC Paris, running June 10-12.

Time Stamps

1:00 – Overview of NVIDIA’s collaboration with Siemens.

5:00 – Challenges faced by manufacturing companies.

15:00 – How Inspekto makes automated visual quality inspection more accessible.

24:00 – How Audi achieved up to 25x faster inference with Siemens’ Industrial AI Suite.

37:00 – Future directions with industrial copilots and AI-enhanced robotics.

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工业AI 英伟达 西门子 制造业 自动化
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