Artificial intelligence (AI) is often linked to machine learning, neural networks, machine vision or even automation. The premise of AI is that the machine can solve a given problem by itself, with minimal human intervention, based on data and previous experiences. Additive manufacturing (AM), or 3D printing, as defined by the ISO/ASTM standards, is a group of manufacturing techniques that fabricate parts from 3D model data, usually layer upon layer as opposed to subtractive and formative manufacturing methodologies.

Due to the digital thread in AM, they are inherently suited to be integrated with Al, from the pre-process to the actual 3D printing and finally, the post-processing. In this Special Issue, state-of-the-art reviews and current research results which focus on using AI in AM will be reported. These include, but not limited to, computer vision for in-process monitoring systems, feedback control in 3D printing and process optimization for AM and related post-processing. Submissions related to novel applications, designs and processes in 3D printing and AI are also welcomed.

Contributions focused on AI in AM in any of the following topics are of particular interest:

• Design of 3D printable materials;
• In-process monitoring and quality control for AM;
• New AI applications in AM.