{"id":406,"date":"2021-10-01T15:56:25","date_gmt":"2021-10-01T13:56:25","guid":{"rendered":"https:\/\/www.eu-japan.ai\/?p=406"},"modified":"2021-10-01T15:56:25","modified_gmt":"2021-10-01T13:56:25","slug":"mapping-the-application-of-ai-to-manufacturing","status":"publish","type":"post","link":"https:\/\/www.eu-japan.ai\/ja\/mapping-the-application-of-ai-to-manufacturing\/","title":{"rendered":"Mapping the Application of AI to Manufacturing"},"content":{"rendered":"
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AI is often touted as the “next big thing” in manufacturing, after the Industry 4.0 revolution. Where will it come from, where will it be implemented, what impacts will it have?<\/strong><\/p>\n

After decades in which AI was always 5-10 years from being implemented in the real world, in the past decade that promise has finally begun to be seen. From computer vision for automatic monitoring of the factory floor [4]<\/a>, to predicting likely outcomes of genetic manipulations in synthetic biology [3]<\/a> , the potential impact of AI in manufacturing is immense. This evolution of manufacturing will involve a variety of underlying AI technologies (computer vision, various forms of machine learning, intelligence support for human decision-making, etc.) as well as targetted applied research for specific types of application. In addition to the technical research there is research in business management and economics. The legal, ethical and social implications also need attention. Some industries are more likely to have early adopters than others. Governments will be involved, from funding much of the fundamental research, and some of the applied research and innovation activity, through industrial policy and regulation. An initial overview of this landscape is presented below.<\/span><\/p>\n

Underlying Technologies<\/h4>\n

Both software and hardware technologies are involved in the application of AI to manufacturing activity. Some of the most common types of hardware and software are:<\/span><\/p>\n