NetEase accelerates the application of AI big models in the industry, covering over 100 application scenarios
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At the 2023 World Artificial Intelligence Conference (WAIC), multiple artificial intelligence large model landing products from NetEase made their debut, showcasing leading innovation achievements in the artificial intelligence infrastructure layer, engine layer, platform layer, model layer, and application layer.At the booth, the reporter learned that the unmanned loading robot was jointly developed by NetEase Fuxi and China Construction Eighth Bureau
At the 2023 World Artificial Intelligence Conference (WAIC), multiple artificial intelligence large model landing products from NetEase made their debut, showcasing leading innovation achievements in the artificial intelligence infrastructure layer, engine layer, platform layer, model layer, and application layer.
At the booth, the reporter learned that the unmanned loading robot was jointly developed by NetEase Fuxi and China Construction Eighth Bureau. It is a highly intelligent and fully automated main construction machinery based on the mixing station scenario. On the one hand, it adopts unmanned driving technology to achieve automation functions such as environmental perception, path planning, active obstacle avoidance, autonomous operation, automatic monitoring and reminders; On the other hand, the intelligent system of the mixing station is built by using digital spawning technology. The system can use the comprehensive data analysis of the Big data platform to distribute tasks for the loader in the station and achieve intelligent planning and execution of the loader's work path.
The person in charge of engineering machinery technology at NetEase Fuxi introduced that unmanned loading robots have four technological breakthroughs: firstly, high-precision positioning and navigation systems, with autonomous positioning accuracy better than 5cm and autonomous driving comprehensive control accuracy better than 15cm, providing stable and safe support for automated operations; Secondly, a learning based motion control scheme can quickly adapt to different vehicle models, automatically perform actions such as movement, acceleration and deceleration, and shovel unloading. The shovel operation has a full hopper rate of over 95%, and the residual rate of the unloading hopper is below 5%. The shovel transportation efficiency is close to that of a teacher; Thirdly, high-precision visual perception algorithms are adopted to achieve real-time detection of materials in the silo and hopper, and to dynamically analyze the production situation inside the mixing plant, with a real-time monitoring error of less than 5%; Fourthly, high-precision scene reconstruction and implementation rendering technology are used to realistically restore the 3D scene of on-site operations. Through the simulation and prediction functions of digital twin scenes, holographic control of the operation process is achieved, improving production efficiency and work safety.
At the same time, the reporter learned that during the current World Artificial Intelligence Conference, NetEase Fuxi, together with the Shanghai Youth League Municipal Committee and Donghao Lansheng, launched the first AI painting experience activity, covering the entire exhibition area of the World Artificial Intelligence Conference. Participants only need to input work keywords and choose different painting styles to generate exquisite painting works. This AI painting experience activity was provided with technical support by Netease Fuxi Danqing contract, which was backed by Netease Fuxi's self-developed picture Generative model - "Danqing".
Danqing is a Chinese model developed by NetEase Fuxi, which is based on native Chinese corpus data and NetEase's own high-quality image data training. It is a 100% domestically produced large model. The training data of this model has undergone strict text and image review, ensuring that the data source is compliant and the generated content is compliant. At the same time, the model has good Chinese understanding ability, and the created works can better meet Chinese aesthetics.
Before that, Ding Lei, CEO of NetEase, said at the High Quality Development Conference of Platform economy in Zhejiang Province that it is NetEase's primary task to explore the innovation and application of AI big models at the fastest speed.
It is understood that the NetEase AI big model is accelerating its coverage of over a hundred industrial application scenarios. While accelerating innovative applications, the NetEase Fuxi Youling crowdsourcing platform will also provide 100000 people with new AI jobs this year, including job opportunities for remote excavator drivers, AI painters, AI facial expression binders, and other machine collaboration positions. The platform will also provide targeted training based on job seekers' user profiles to help them improve their abilities and income.
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