NCM29 conference plenary keynote presentation
Deep Learning as a mean for Enabling Self-Learning and Self-Optimizing Capabilities in Real-World Industrial Applications
Manufacturing systems and strategies changed over many decades seeking to minimize cost, enhance quality, reliability, and efficiency, better manage increasing products variety, and maximize profit and ensure sustainability. A new Adaptive Cognitive Manufacturing Systems (ACMS) paradigm, its drivers, enablers, and characteristics
including cognitive adaptation is presented. Human-centric collaboration of workers and smart machines and applications are demonstrated, and the evolution of Cognitive Digital Twins are discussed. Future research and education challenges towards achieving smarter, more adaptive, and more sustainable manufacturing systems are outlined.