By harnessing the vast amount of data produced in modern plastics processing facilities, artificial intelligence can improve the performance of machines. The Industry 4.0 era of manufacturing relies so heavily on data-driven precision that artificial intelligence (AI) is playing an increasingly important role in harnessing that data to improve the performance of machines, including injection molders. AI in manufacturing encompasses a variety of technologies that allow machines to function with intelligence that emulates that of humans. Machine learning and natural language processing help machines approximate the human ability to learn, make judgments, and solve problems. Improved data efficiency keeps processes moving faster and more cost effectively.

The Industry 4.0 era of manufacturing depends so heavily on data-driven precision that artificial intelligence (AI) is playing an increasing role in harnessing that data to enhance the performance of machines -- including injection molders. AI in manufacturing encompasses an array of technologies that allow machines to perform with intelligence that emulates that of humans. Machine learning and natural language processing help machines approximate the human capacity to learn, make judgments, and solve problems. Data-enhanced efficiency keeps processes moving faster and more cost-effectively. "AI is becoming increasingly important in mechanical engineering, not least because of the need to automate injection molding processes efficiently and flexibly despite ever smaller batch sizes and shorter product life cycles," said Werner Faulhaber, Director of Research and Development at Arburg.