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FANUC News Release·· 2016-10-04AI 评分40

FANUC 携手 NVIDIA 在 FIELD 系统上部署 AI

FANUC to Build Factory of the Future Using NVIDIA AI Platform

AI 导读

FANUC 与 NVIDIA 宣布合作,在 FANUC FIELD(Intelligent Edge Link and Drive)系统上实现人工智能,以提升机器人生产效率并赋予全球自动化工厂新能力。加入 AI 后,机器人可自学完成任务,原本单台机器人需 8 小时的工作,现可由 8 台机器人在 1 小时内完成。FANUC 将采用 NVIDIA 的 GPU 与深度学习软件,在云端、数据中心及设备嵌入式系统中实现 AI,具体包括用 GPU 进行机器人深度学习训练、在驱动机器人与机床的 FANUC Fog 单元中做 GPU 加速的 AI 推理,以及让机器人本地推理的嵌入式系统。NVIDIA 创始人兼 CEO 黄仁勋与 FANUC 董事、执行役员兼总经理稻叶清典分别就合作表态。FIELD 系统通过结合 AI 与边缘计算处理来自各类设备的边缘传感器数据,使机器智能灵活协作。国际机器人联合会预测,全球工业机器人部署量将从 2015 年的 100 万台增至 2019 年的约 260 万台。

正文 · 原文

FANUC to Build Factory of the Future Using NVIDIA AI Platform
Leaders in Factory Automation and AI Computing Partner to Advance AI for Manufacturing

October 5th, 2016
FANUC CORPORATION

TOKYO — GTC Japan — Oct. 5, 2016 — NVIDIA and FANUC Corporation today announced a collaboration to implement artificial intelligence on the FANUC Intelligent Edge Link and Drive (FIELD) system, to increase robotics productivity and bring new capabilities to automated factories worldwide.

Adding AI to the FIELD system will give robots the ability to teach themselves to do tasks faster and more efficiently. By learning together, what used to take a single robot 8 hours can now be done by eight robots in an hour.

“The age of AI is here,” said Jen-Hsun Huang, founder and CEO of NVIDIA.‎ “GPU deep learning ignited this new wave of computing where software learns and machines reason. One of the most exciting creations will be intelligent robots that can understand their environment and interact with people. NVIDIA is delighted to partner with FANUC, the world leader of industrial robotics, to realize a future where intelligent machines accelerate the advancement of humanity.”

Building the factory of the future will have wide-ranging impact. The International Federation of Robotics predicts the deployment of industrial robots will increase to around 2.6 million units worldwide by 2019 - up from 1 million in 2015. These robots are central to the global manufacturing process used to make everything from cars to mobile phones.

“Advances in artificial intelligence will allow robots to watch, learn, and improve their capabilities,” said Kiyonori Inaba, Member of the Board, Executive Managing Officer and General Manager of FANUC. “Deep learning will also cut down the time-consuming programming of robot behavior. We are thrilled to be advancing the robotics revolution with NVIDIA.”

The breakthrough that is enabling AI manufacturing is GPU-accelerated deep learning. FANUC will use a range of NVIDIA GPUs and deep learning software to enable AI in the cloud, the data center and embedded within devices.

These next-generation capabilities will include:

  • Deep learning robot training with NVIDIA GPUs
  • GPU-accelerated AI inference in FANUC Fog units used to drive robots and machines
  • Embedded systems for robots to do inference locally

About FIELD system

FIELD system is a platform to improve factory production and efficiency with advanced artificial intelligence. By combining artificial intelligence and edge computing technology, the FIELD system processes the edge-heavy sensor data collected from various machines to make the machines intelligently and flexibly collaborate to achieve advanced manufacturing capabilities.

来源:FANUC News Release · fanuc.co.jp