Hybrid eventIn-person & virtual
March 18–20, 2027Singapore · Village Hotel Changi
Session Track · Materials 2027

Artificial Intelligence in Additive Manufacturing at Materials 2027

Part of the Materials 2027 scientific programme · Village Hotel Changi, Singapore · March 18–20, 2027

About the Artificial Intelligence in Additive Manufacturing Session

Artificial Intelligence in Additive Manufacturing, The future of manufacturing where artificial intelligence (AI) and additive manufacturing converge to revolutionize the production landscape. AI's data-driven insights and machine learning algorithms bring a new dimension to additive manufacturing processes, optimizing efficiency and precision. Through predictive maintenance, AI ensures the seamless operation of 3D printers by identifying potential issues before they arise, reducing downtime and enhancing productivity. Additionally, AI algorithms analyse design data to suggest optimizations, improving the manufacturability of complex components. This synergistic relationship between AI and additive manufacturing not only streamlines operations but also unlocks the full potential of this innovative technology, paving the way for a more intelligent and adaptive manufacturing ecosystem.

Topics Covered in Artificial Intelligence in Additive Manufacturing

Topic 01

Machine Learning Process Optimization

Topic 02

In Situ Monitoring and Defect Detection

Topic 03

Predictive Maintenance for Printers

Topic 04

AI Driven Design for Additive Manufacturing

Topic 05

Data Driven Process Parameter Prediction

Topic 06

Digital Twins for Additive Manufacturing

Related Scientific Sessions at Materials 2027

Why Attend the Artificial Intelligence in Additive Manufacturing Conference 2027

Earn CPD Credit

Sessions are CPD-accredited; certificates issued to every registered delegate within two weeks of the conference.

Present Your Research

Oral and poster slots for original Artificial Intelligence in Additive Manufacturing work, reviewed by the scientific committee.

Network Globally

Meet materials researchers, engineers, and academics from around the world across three days.

Publish & Get Indexed

Accepted abstracts appear in the indexed conference proceedings with a citable DOI.

Learn from Keynotes

Plenary lectures from leading voices shaping Artificial Intelligence in Additive Manufacturing research and practice.

Hybrid Flexibility

Attend in person in Singapore or join virtually — same programme, same certificate.

Join Materials 2027 for the Artificial Intelligence in Additive Manufacturing track

Oral and poster slots for your work — in person in Singapore or online. Not presenting? Attend as a delegate to learn from the field.

Artificial Intelligence in Additive Manufacturing Conference 2027 — FAQs

What is the Artificial Intelligence in Additive Manufacturing track at Materials 2027?

The Artificial Intelligence in Additive Manufacturing track is a dedicated stream within Materials 2027 covering the latest research, methods, and applications in Artificial Intelligence in Additive Manufacturing. It brings together researchers, engineers, and academics for oral presentations, posters, and discussion.

Who should attend the Artificial Intelligence in Additive Manufacturing sessions?

Materials researchers, engineers, educators, doctoral students, and R&D leaders with an interest in Artificial Intelligence in Additive Manufacturing are all welcome — whether presenting or attending.

Can I present my research in the Artificial Intelligence in Additive Manufacturing track?

Yes. Submit an abstract for oral or poster presentation. All submissions are peer-reviewed by the scientific committee; accepted abstracts appear in the indexed proceedings.

Is virtual attendance available for Artificial Intelligence in Additive Manufacturing sessions?

Yes. Materials 2027 is a hybrid conference — attend the Artificial Intelligence in Additive Manufacturing track in person in Singapore or join live online, with on-demand access afterward.

Join the Materials 2027 delegation

Singapore · March 18–20, 2027· Hybrid · in-person & virtual

Register as Delegate →

Attend without presenting.

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